Wenger & Watson Inc. Reviews by Employees

Associate Consultant

About the Role : We are looking for a highly skilled GenAI Engineer with 5+ years of experience in Artificial Intelligence, Machine Learning, Generative AI, NLP, and production-grade AI applications. The ideal candidate will have strong hands-on experience building LLM-powered applications, AI Agents, RAG pipelines, conversational AI solutions, and intelligent automation workflows. Key Responsibilities : - Design, develop, and deploy Generative AI applications using Large Language Models (LLMs). - Build LLM-powered solutions for enterprise business use cases, intelligent automation, and decision-support systems. - Design and develop AI Agents and Agentic AI workflows capable of reasoning, planning, tool usage, and task execution. - Build and optimize Retrieval-Augmented Generation (RAG) pipelines. - Develop scalable AI services and applications using Python and FastAPI. - Deploy GenAI and ML applications on Google Cloud Platform (GCP) with robust MLOps practices. Required Skills : - 5+ years of experience in AI/ML, Data Science, AI Engineering, or NLP. - Strong hands-on experience in Generative AI, LLMs, Transformers, and Deep Learning. - Excellent programming skills in Python. - Experience building AI Agents, RAG pipelines, and Vector Databases. - Hands-on experience with Prompt Engineering and LLM fine-tuning. - Experience deploying AI applications on GCP and managing CI/CD pipelines. Qualifications : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. - Strong hands-on engineering experience with production AI systems.

Bangalore

Generative AI Engineer - LLM 

Role Overview : The role involves working with large and diverse datasets, developing robust analytical and machine learning models, generating actionable insights, and collaborating closely with product, engineering, and business teams. Key Responsibilities : Data Science & Machine Learning : - Develop, train, validate, and deploy machine learning models to solve complex business and product problems. - Apply supervised and unsupervised learning techniques to structured and unstructured datasets. - Build predictive models for classification, regression, forecasting, recommendation, segmentation, and anomaly detection use cases. - Select appropriate algorithms based on business objectives, data characteristics, and model performance requirements. - Continuously improve model accuracy, scalability, robustness, and interpretability. Statistical Analysis & Modelling : - Apply statistical techniques to identify patterns, relationships, trends, and anomalies within large datasets. - Perform hypothesis testing, statistical inference, correlation analysis, and experimentation. - Design and analyse A/B tests and controlled experiments where required. - Develop statistical and mathematical models to support business and product decisions. - Evaluate model assumptions and ensure statistical validity of analytical outcomes. Data Preparation & Feature Engineering : - Work with data engineering teams to identify and prepare relevant data sources. - Perform data cleaning, preprocessing, transformation, and exploratory data analysis. - Develop meaningful features from raw data to improve model performance. - Handle missing data, outliers, data inconsistencies, and other data-quality challenges. - Build reusable data preparation and feature engineering pipelines. Predictive Analytics : - Develop predictive models to forecast business outcomes and identify future trends. - Analyse customer, product, operational, and behavioural data to generate actionable insights. - Identify opportunities for optimization through predictive and prescriptive analytics. - Translate analytical findings into recommendations that can influence business and product strategy. Model Evaluation & Optimization : - Establish appropriate metrics to evaluate machine learning model performance. - Perform model validation, cross-validation, error analysis, and performance benchmarking. - Tune model hyperparameters and optimize algorithms for improved performance. - Monitor model behaviour and identify model drift or degradation after deployment. - Ensure models balance accuracy, interpretability, scalability, and business requirements. Productionization & Deployment : - Collaborate with data engineers and software engineers to productionize machine learning models. - Develop production-ready data science solutions using Python and relevant ML frameworks. - Create scalable model pipelines and APIs for integrating ML models into applications. - Support model deployment, monitoring, testing, and lifecycle management. - Follow engineering best practices around version control, testing, documentation, and reproducibility. Business & Product Analytics : - Partner with Product, Engineering, Business, and Operations teams to understand business problems and translate them into analytical solutions. - Convert complex analytical findings into clear business recommendations. - Present insights and model outcomes to technical and non-technical stakeholders. - Identify new opportunities where data science and machine learning can create measurable business impact. Research & Innovation : - Stay current with developments in machine learning, statistical modelling, and data science. - Evaluate new algorithms, frameworks, and modelling techniques. - Conduct proof-of-concepts and experiments to assess new approaches. - Contribute to the development of reusable data science methodologies and best practices. Required Skills : - 5 - 10 years of professional experience in Data Science, Machine Learning, Predictive Analytics, or a related field. - Strong programming skills in Python. - Strong understanding of Machine Learning algorithms and statistical modelling. - Experience with supervised and unsupervised learning techniques. - Strong knowledge of feature engineering, model evaluation, validation, and optimization. - Hands-on experience with libraries/frameworks such as Scikit-learn, Pandas, NumPy, and relevant ML frameworks. - Strong understanding of statistical concepts including hypothesis testing, probability, distributions, regression, and experimental design. - Experience working with large datasets and complex data problems. - Strong SQL skills for data extraction, transformation, and analysis. - Experience taking machine learning models from development to production. - Strong analytical and problem-solving capabilities. - Excellent communication and stakeholder management skills. Good to Have : - Experience with Deep Learning and frameworks such as PyTorch or TensorFlow. - Experience with cloud platforms such as AWS, GCP, or Azure. - Exposure to distributed data processing technologies such as Spark. - Experience with recommendation systems, forecasting, NLP, fraud detection, or anomaly detection. - Knowledge of MLOps, model monitoring, CI/CD, and ML model lifecycle management. - Experience working in a product-based technology environment. - Experience solving large-scale business and customer analytics problems. Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline. - Strong hands-on experience applying data science to real-world business problems.

Gurgaon/Gurugram

Mumbai

Data Scientist - Machine Learning - Predictive Analytics 

About the Role : We are hiring a Principal AI Scientist for a tier-1, US-headquartered digital banking SaaS organization that powers mission-critical platforms for leading banks and credit unions globally. This is a highly impactful Applied AI and Research-oriented role for an AI practitioner who can translate emerging advances in Artificial Intelligence, Generative AI, autonomous agents, and machine learning into production-grade capabilities for enterprise financial services. Key Responsibilities : AI Research & Innovation: - Lead research and experimentation across AI, Machine Learning, Generative AI, Agentic AI, NLP, and Deep Learning. - Evaluate emerging AI models, architectures, techniques, and frameworks for enterprise use cases. - Design and conduct experiments to validate new AI approaches and translate successful research into production solutions. - Identify opportunities to apply advanced AI techniques to complex financial services problems. - Contribute to the organization's AI strategy, technical direction, and innovation roadmap. Autonomous AI & Decision Intelligence: - Architect and develop autonomous AI agents capable of reasoning, planning, decision-making, and interacting with enterprise systems. - Build intelligent decisioning capabilities for complex, real-time business scenarios. - Develop AI-driven solutions for fraud detection, personalization, risk intelligence, customer engagement, and automated decisioning. - Design AI systems that combine predictive models, LLMs, business rules, and real-time signals. - Develop intelligent orchestration frameworks for multi-step AI-driven processes. Advanced Machine Learning & Modelling: - Design, train, fine-tune, and optimize advanced ML, Deep Learning, NLP, and Transformer-based models. - Work with large-scale structured and unstructured datasets to develop predictive and prescriptive models. - Apply advanced modelling techniques to improve prediction accuracy, decision quality, and system performance. - Develop approaches for model evaluation, experimentation, interpretability, and continuous improvement. - Optimize models for production environments with high-volume and low-latency requirements. GenAI & LLM Research: - Research and implement advanced LLM and Generative AI architectures for enterprise applications. - Develop sophisticated prompt frameworks and model adaptation strategies. - Work on LLM fine-tuning, transfer learning, embeddings, Transformers, and Deep Learning. - Evaluate foundation models based on accuracy, latency, scalability, reliability, and business suitability. - Explore the application of GenAI to conversational intelligence, financial insights, automation, and decision support. Real-Time AI Systems: - Architect AI-powered real-time decisioning systems capable of processing high-volume data and generating low-latency outcomes. - Develop predictive intelligence for mission-critical financial services workflows. - Design scalable model-serving architectures for production environments. - Collaborate with engineering teams to ensure AI models can operate reliably at enterprise scale. AI Platform & Productionization: - Partner with engineering teams to transition AI research and prototypes into robust production systems. - Design scalable AI/ML architectures using GCP. - Establish production-grade model deployment, monitoring, validation, and lifecycle management practices. - Build and optimize MLOps and CI/CD pipelines for AI/ML systems. - Support high-throughput AI services and model APIs using technologies such as FastAPI. - Work with Vector Databases and distributed AI infrastructure where required. Digital Banking & Open Banking: - Apply AI to digital banking use cases across customer experience, fraud, personalization, risk, and financial intelligence. - Explore Open Banking use cases involving financial data aggregation, APIs, data-sharing frameworks, and intelligent decisioning. - Integrate third-party AI capabilities and external data sources into core banking product workflows. - Work with domain and product teams to identify high-value AI opportunities across banking platforms. Responsible AI & Model Governance: - Establish strong standards for model governance, explainability, transparency, and responsible AI. - Evaluate AI systems for reliability, bias, robustness, and appropriate business behaviour. - Contribute to frameworks for model validation, monitoring, and risk management. - Ensure AI solutions meet enterprise security, compliance, and governance expectations. Required Skills: - 6+ years of hands-on experience in AI/ML, Data Science, Applied AI, Machine Learning Research, or related areas. - Strong experience designing and implementing AI/ML models for real-world production use cases. - Deep understanding of Generative AI, LLMs, Transformers, Deep Learning, and NLP. - Proven experience building autonomous AI agents and intelligent decisioning systems. - Strong Python programming and software engineering capabilities. - Hands-on experience with LLM fine-tuning, prompt frameworks, transfer learning, and model optimization. - Strong experience with real-time or large-scale AI/ML systems. - Experience with GCP and production AI/ML deployments. - Strong understanding of MLOps, CI/CD, model lifecycle management, and model monitoring. - Experience with FastAPI, Vector Databases, and scalable model-serving architectures. - Strong research, experimentation, analytical, and problem-solving skills. - Experience translating AI research into production-ready enterprise solutions. Preferred Experience: - Experience in FinTech, Banking, Digital Banking, or Financial Services. - Experience working with enterprise SaaS or product-based organizations. - Experience with fraud detection, personalization, risk modelling, conversational AI, or financial decisioning. - Exposure to Open Banking APIs, data-sharing frameworks, and financial data aggregation. - Experience with responsible AI, model governance, explainability, and AI risk management. - Experience working with large-scale production AI platforms. - Research publications, patents, technical contributions, or demonstrated innovation in AI/ML will be an advantage.

Karnataka

Principal AI Scientist - Fintech Domain 

Role: Salesforce Lead Experience: 10+ years, with at least 5 years in Salesforce Marketing Cloud or Data Cloud. What you will do: - Lead implementation projects in the Retail/Consumer Goods domain. - Manage integrations, with specific expertise in JSON and cross-module data flow. - Handle Salesforce administration, configuration, and business requirement mapping. - Work with Agile user stories, features, and story points. - Develop SQL queries and manage RDBMS tasks. - Deliver value-driven solutions using native functionality with minimal customization. - Manage the full project lifecycle from low-level design to post-production support. Tech Stack & Requirements: - Mandatory: Salesforce Marketing Cloud or Data Cloud (at least 1 end-to-end implementation each). - Proficient in Salesforce/Apex, Triggers, Lightning Flows, REST & SOAP APIs, and Governor limits. - Knowledge of modern web technologies (HTML, CSS, JavaScript, Web Components). - Experience with GIT, SSO, OAuth 2.0, unit testing, and peer reviews. - Strong understanding of the Salesforce release cycle and recent feature updates. - Salesforce Certifications are mandatory. Qualifications: - Engineering Graduate/MBA/MCA or equivalent.

Salesforce Lead - Marketing Cloud/Data Cloud 

Role Overview : We are looking for an experienced Head SAP Applications to provide functional, technical, and leadership ownership of the organisations SAP landscape. The role will partner with business heads, plant teams, Finance, Supply Chain, Manufacturing, Procurement, Sales, and IT to ensure reliable operations, strong controls, efficient processes, and effective use of SAP. Key Responsibilities : - Lead SAP functional strategy and provide deep expertise in FI/CO or another core SAP module, with strong understanding of FI/CO, MM, SD, PP, QM, PM and cross-functional processes. - Own the SAP application roadmap aligned with business strategy, digital transformation, process standardisation, automation, and operational priorities. - Evaluate and guide SAP S/4HANA, Fiori, BTP, RISE, analytics, workflow, process mining, and AI-enabled capabilities. - Translate business requirements into scalable SAP solutions, conduct fit-gap and process workshops, and challenge unnecessary customisation. - Review and approve functional designs, configurations, technical specifications, integrations, and solutions covering accounting, costing, inventory, taxation, controls, audit, and operations. - Provide technical oversight of ABAP, APIs, IDocs, BAPIs, RFCs, CDS Views, Fiori, workflows, integrations, transports, security, and system architecture. - Lead SAP implementations, rollouts, upgrades, migrations, and major enhancement programmes across the complete lifecycle, including design, configuration, data migration, testing, UAT, cutover, go-live, and hypercare. - Ensure effective SAP application support through structured incident, problem, change, escalation, SLA, root-cause, and knowledge-management processes. - Lead SAP functional and technical teams, allocate resources, develop capabilities, mentor team members, and manage implementation/support partners. - Partner with senior stakeholders and plant/business leaders on SAP priorities, risks, escalations, solution decisions, and transformation initiatives. - Establish SAP governance covering solution design, change management, testing, transports, production access, ITGC, segregation of duties, authorisations, audit, and compliance. - Strengthen SAP master-data governance and work with analytics/data teams to enable reliable SAP data extraction, enterprise reporting, and dashboards. - Manage SAP vendors and partners, including scope, SLAs, deliverables, budgets, performance, knowledge transfer, and reduction of external dependency. - Ensure adherence to clean-core principles, SAP standards, documentation, security, business continuity, and disaster-recovery requirements. Required Experience: - 14+ years of total professional experience with significant SAP functional/application leadership experience. - Experience in manufacturing or process industries, preferably multi-location/plant environments. - Leadership or participation in 34 end-to-end SAP implementations, rollouts, or major transformation programmes. - Hands-on experience with at least one major SAP upgrade, migration, or version transition. - Strong SAP S/4HANA experience; ECC exposure is advantageous. - Deep expertise in SAP FI/CO or equivalent depth in another core SAP module. - Strong understanding of integration across Finance, Procurement, Sales, Manufacturing, Quality, Maintenance, and Supply Chain. - Experience managing SAP functional consultants, technical teams, and external implementation partners. - Strong experience across implementation, enhancement, production support, testing, cutover, and user adoption. - Practical knowledge of SAP controls, authorisations, ITGC, audit, and compliance. Technical & Functional Skills: - SAP S/4HANA architecture and application landscape - FI/CO or another core SAP module - Cross-module business processes: O2C, P2P, Plan-to-Produce, R2R - Product costing, actual costing, Material Ledger, and profitability analysis - ABAP concepts and functional specification review - CDS Views, Fiori, APIs, IDocs, BAPIs, workflows, and integrations - Data migration, conversion, and reconciliation - SAP Basis, transports, performance, and upgrade concepts - Roles, authorisations, and SoD - SAP BTP, Signavio, RISE, or Cloud ALM exposure is advantageous - Master-data governance and SAP analytics integration Education & Certifications: - Bachelors degree in Engineering, Computer Science, IT, Commerce, Finance, Business Administration, or related discipline; CA/CMA/MBA Finance is relevant for candidates with FI/CO expertise. - SAP certification in the core module is preferred. - SAP S/4HANA, SAP Activate, Project Management, ITSM, or Architecture certification is advantageous. Preferred Industry Experience: - Food Processing / CPG - FMCG - Chemicals / Fertilisers - Cement / Metals / Process Manufacturing - Automotive / Industrial Manufacturing - Multi-plant manufacturing organisations Key Competencies: - Strong business orientation and commercial understanding - Functional depth combined with technical judgement - Strong problem-solving and root-cause analysis - Executive communication and stakeholder management - Ability to challenge requirements constructively - Strong ownership and decision-making - Team leadership, mentoring, and delivery discipline - Control consciousness and attention to detail - Ability to remain hands-on for critical issues Expected Outcomes: - Establish a clear, business-aligned SAP roadmap. - Improve SAP enhancement quality, delivery timelines, and standardisation. - Strengthen integration across Finance, Manufacturing, Procurement, Sales, and Supply Chain. - Improve SAP controls, documentation, audit readiness, and change governance. - Deliver upgrades and transformation programmes with minimal business disruption. - Improve master-data quality and reporting reliability. - Build stronger collaboration between business teams and the SAP function.

Chennai

Head - SAP Applications 

Role Overview: The role requires a strong technical leader who can drive architecture and engineering decisions while remaining hands-on with critical components of the platform. You will work closely with product, engineering, data, and infrastructure teams to design and deliver high-performance systems capable of processing large volumes of data. Key Responsibilities: - Lead the architecture, design, development, and delivery of scalable backend and data-intensive applications. - Design and build robust data ingestion frameworks capable of processing high-volume, high-velocity, and heterogeneous data from multiple sources. - Develop reliable and scalable data pipelines for batch and real-time data processing. - Build backend services and data-processing components using Python and Golang. - Design APIs, microservices, and distributed services that support data ingestion and processing workflows. - Design mechanisms for data validation, transformation, enrichment, deduplication, and error handling within ingestion pipelines. - Work on real-time and near-real-time data processing using event-driven architectures and streaming technologies. - Design fault-tolerant and highly available data processing systems with appropriate retry, recovery, checkpointing, and monitoring mechanisms. - Optimize existing data pipelines and backend services for performance, scalability, reliability, and cost efficiency. - Establish engineering best practices around code quality, testing, documentation, deployment, observability, and production readiness. - Lead technical discussions, architecture reviews, design reviews, and code reviews. - Mentor senior engineers and technical teams while establishing strong engineering standards. - Collaborate with Product, Data Engineering, DevOps, SRE, and other technology teams to deliver end-to-end solutions. Technical Skills: - Strong hands-on programming experience in Python and/or Golang. - Extensive experience in backend software development and distributed systems. - Strong understanding of data ingestion architectures and large-scale data pipelines. - Experience designing batch and real-time data processing pipelines. - Strong experience with relational and NoSQL databases, SQL, and database performance optimization. - Hands-on experience with messaging and streaming technologies such as Kafka. - Strong understanding of containerization, CI/CD, monitoring, logging, and production deployment practices. System Design & Architecture: - Strong expertise in designing distributed, highly available, and scalable systems. - Ability to translate business requirements into scalable technical architectures. - Strong understanding of horizontal scaling, caching, partitioning, replication, load balancing, and fault tolerance. Leadership & Collaboration: - Lead a team of experienced software engineers and provide technical mentorship. - Drive engineering excellence and promote clean, maintainable, and scalable code. - Define technical standards and development practices across engineering teams. - Partner with engineering leadership to define technical roadmaps and modernization initiatives. Qualifications: - 15 to 20 years of overall software engineering experience. - Proven experience building large-scale backend systems and data platforms. - Strong background in data ingestion, data pipelines, distributed systems, and scalable architectures. - Experience leading technical teams and complex engineering initiatives. - Excellent communication and stakeholder-management abilities.

Pune

Senior Software Engineering Lead - Python/Golang 

Job Description : We are looking for an experienced React Native Developer to join a leading FinTech organization in Bengaluru. If youre passionate about building scalable, high-performance mobile applications for iOS and Android this is a great opportunity! Total Experience : 5 to 10 years overall experience Key Responsibilities : - Develop highly configurable, extensible & pluggable React Native applications - Build and maintain iOS & Android mobile apps - Collaborate closely with UX/UI designers to create clean, intuitive UI components - Work with backend teams to design & integrate RESTful APIs - Analyze implications of code changes & improve performance - Hands-on coding, code reviews & performance testing - Work with team leads to finalize architecture & designs - Support customer interactions, demos & presentations when required Ideal Qualifications : - Bachelors degree in Computer Science or equivalent - Strong expertise in React Native & native components - Deep understanding of mobile frameworks & authentication flows - Expertise in RESTful services & enterprise architecture - Strong knowledge of Git & GitFlow - Experience with component libraries - Agile development experience - Independent, self-driven & strong problem-solving mindset CI/CD & Publishing Tools : - Apple App Store, App Store Connect, TestFlight, Google Play Console, Firebase, App Center, Travis, BitRise, GitHub Actions Tech Stack : - ReactJS, React Native, Expo, JavaScript, iOS (Swift / Objective-C, CocoaPods), Android (Kotlin / Java), Node.js, XML/JSON, Xcode, Android Studio, MS Visual Studio

React Native Developer - Mobile Applications 

Bachelor's Degree, Preferably a BE, BPharm, BTech, BSc SAP ECC Implementation &amp; Support experience Should have done 2-4 Onsite implementation and or Onsite Support projects in MNC Manufacturing / Supply Chain environment SAP PP certification: Added advantage SKILLS/EXPERIENCE TO HAVE : - 6 years + as SAP PPQM Consultant - Domain experience in Production in any Industry - Mandatory SAP implementation Support experience with Multi-country MNC - Integration /interfacing with SAP ABAP, SD, MM, FICO, PI/PO. - Solid organizing and planning skills for deliverables. - Good priority setting and delegation skills. - Solid analytical, problem-solving, negotiation Reporting and communication skills. - Collaborate with other leads and team members to review, identify, and resolve project /support challenges - Cultivate strong relationships with Client's Project Manager, CTM (s), BPO (s) to Proactively forecast &amp; mitigate, guide on Best Practices - Produce documentation for projects - Ready to rotational shift

Hyderabad

CarbyneTech - Senior SAP PP/QM Consultant - E2E Implementation & Support 

- Minimum 8+ years working experience in SAP PP &amp; QM modules - Should have experience in SAP PP/QM with ECC &amp; S4 HANA Solution end to end implementation and support experience - Must be able interact directly with customers to translate business requirements into Solutions. - Defend the Designed Solution with customers. - Must have exposure in DMS and good understanding of MRP. - Understand the Business Processes and sharing recommendations for leveraging technology to drive higher efficiency and/ or effectiveness &nbsp;-Expertise in SAP QM in the areas of quality inspection processes in procurement, production and delivery. - Experience in Notifications, Test equipment and calibrations, SPC, Quality certificates and standard reporting. Should possess sound integration knowledge of QM with PP /MM/SD. - Should have knowledge on business processes in manufacturing/quality and should have ability to map the business processes in SAP. Should have capabilities in handling Rejections, Rework and deviation in production apart from standard manufacturing/quality processes Required Skills : - Must have worked on 4- 6 years on implementation and support projects, preferably for Pharma - Good communication skills are a must with capability to drive requirement gathering workshops. - Excellent Client interaction, communication and Documentation skills. - Strong problem solving and analytical skills. - Should be familiar with Incident handling, Change Management. - Must be familiar with standard practice like ITIL, SDLC . - Must be highly customer focused and understand the customer's service requirements. - Must have good academic records.

CarbyneTech - SAP PP/QM Consultant - ECC/MRP Modules 

Responsibilities : - Demonstrate strong understanding of enterprise contact centre architecture. - Understand how agent desktop, routing, skills, queues, and telephony integrations function within enterprise ecosystems. - Support transition planning and migration efforts toward Amazon Connect. - Assist in mapping legacy configurations to cloud-native equivalents. - Ensure governance, documentation, and configuration consistency. - Provide mentorship and technical guidance to platform administrators. Enterprise Contact Centre Administration (Legacy Platforms) : - Administer and configure enterprise contact centre platforms such as Cisco UCCE / Finesse, Genesys Engage / Workspace, or similar enterprise solutions. - Deploy and manage agent desktop components and configurations. - Configure Not Ready and Wrap-Up reason codes. - Create and manage phonebooks and agent teams. - Configure call variable display and desktop settings. - Create and manage agent profiles. - Assign skills and configure skill-based routing. - Maintain routing configurations and queue structures. - Ensure configuration consistency across environments. Migration Support : - Support migration planning from legacy contact centre platforms to Amazon Connect. - Analyse and document existing routing logic, skills, agent states, and configuration dependencies. - Assist in translating legacy routing models into Amazon Connect contact flows, routing profiles, and queues. - Support integration mapping between Amazon Connect and enterprise systems. - Participate in testing, validation, and phased rollout execution. - Support coexistence model during migration. - Assist in documentation and knowledge transfer activities. Must-Have Skills : - Hands-on experience with Cisco UCCE / Finesse. - Hands-on experience with Genesys Engage / Workspace. - Experience with Amazon Connect configuration and administration. - Experience supporting cloud migration or modernization programs. - Familiarity with AWS ecosystem services supporting contact centre integrations. - Experience in hybrid (on-prem + cloud) coexistence environments. - Experience working in regulated enterprise environments.

Lead Cisco Finesse Developer - Contact Centre 

About the Role : We are seeking an AI Engineering Manager (India) to lead our India-based AI engineering team, driving architecture, development, and delivery of enterprise AI solutions across Midera's global operations. Key Responsibilities : - Lead and manage the India-based AI engineering and implementation team. - Recruit, interview, hire, onboard, and develop AI engineers and developers. - Provide day-to-day technical leadership, mentoring, and coaching. - Personally contribute to development of high-priority AI applications and integrations. - Design and architect enterprise-grade AI applications, agents, and copilots. - Lead technical design for solutions involving LLMs, generative AI, and RAG. - Partner with the U.S.-based Manager, Enterprise AI on team structure, priorities, and resource planning. - Establish coding and engineering standards across projects. Required Qualifications : - Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, Engineering, or a related discipline. - Approximately 10+ years of professional software engineering, cloud engineering, data engineering, AI/ML, or related technical experience. - Strong Python development skills with hands-on software engineering experience. - Experience designing and delivering production-grade enterprise applications. - Demonstrated experience developing generative AI or LLM-based applications and working with LLMs, RAG, embeddings, and vector search. - Experience integrating applications with APIs, databases, cloud platforms, and enterprise applications. - Strong understanding of software architecture, authentication, authorization, APIs, security, source control, and CI/CD. - Experience performing code reviews and technical design reviews. Nice to have : - Experience with Microsoft Copilot Studio, Microsoft Copilot, Azure AI, Azure OpenAI, Microsoft Fabric, or Microsoft Power Platform. - Experience with Dynamics 365, CRM systems, or enterprise data platforms. - Experience in manufacturing, industrial technology, engineering, or supply-chain environments. - Knowledge of MLOps, LLMOps, or cloud-based AI operations.

AppSierra Solutions - AI Engineering Manager 

Role : SAP BTP Consultant Role Overview : As a SAP BTP Consultant/Support Engineer, you will support the daily operation of our SAP Business Technology Platform (BTP) landscape and act as the primary contact for 1st and 2nd level support activities. You will ensure reliable platform operations, monitor integrations and applications, resolve incidents, and support business users as well as project teams. SAP BTP Operations & Support : - Provide 1st and 2nd level support for SAP BTP services and applications. - Manage and monitor BTP subaccounts, entitlements, and service instances across ABAP, Cloud Foundry and/or Kyma runtime environments. - Monitor and troubleshoot Destination and Connectivity service configurations. - Support authentication, authorization and single sign-on (SSO) related operations and troubleshooting. - Analyze, troubleshoot, and resolve incidents and service requests. - Coordinate issue resolution with development teams, SAP support, and external service providers. - Maintain operational documentation, support procedures, and knowledge articles. - Support release activities and operational handovers. SAP Fiori Support : - Monitor and support SAP Fiori applications and launchpad services. - Maintain Fiori Launchpad content, including tiles, catalogs, Spaces and Pages. - Analyze authorization, connectivity, and performance issues. - Support end users in resolving functional and technical problems. - Assist with testing and validation of new Fiori applications and releases. SAP Integration Suite Operations : - Monitor integration flows (iFlows) and interfaces within SAP Integration Suite (SAP BTP CI). - Monitor and manage API artifacts, proxies, and policies within API Management. - Analyze interface failures and perform root cause analysis. - Support business and IT teams during issue resolution. - Ensure reliable message processing and integration monitoring. Monitoring & SAP Cloud ALM : - Operate and maintain monitoring solutions using SAP Cloud ALM. - Monitor system health, alerts, integrations, jobs, and business processes. - Monitor end-user experience via Real User Monitoring/ synthetic checks. - Perform proactive incident detection and escalation management. - Support reporting and KPI tracking for platform operations. User & Platform Support : - Manage user requests related to access, authorizations, and platform services. - Support onboarding activities for new applications and services. - Assist in maintaining operating standards, templates, and operational guidelines. - Contribute to continuous improvement initiatives within the BTP support organization. Service Management & Operational Excellence : - Track and manage incidents, service requests, and problem tickets. - Ensure compliance with defined SLAs and operational procedures. - Support root cause analysis and post-incident reviews. - Contribute to operational documentation and knowledge management. - Participate in release, maintenance and operational readiness activities. Required Qualifications : Technical Skills : - Experience with SAP Business Technology Platform (BTP) operations and support. - Monitoring and troubleshooting experience (BTP subaccounts, service instances, and entitlement/quota status) on ABAP, Cloud Foundry and/or Kyma runtime to support incident resolution. - Good understanding of SAP Fiori applications and launchpad services. - Knowledge of Destination and Connectivity service configuration, including troubleshooting authentication, certificate, and connectivity issues. - Knowledge of SAP Cloud ALM monitoring and alerting capabilities, including Real User Monitoring. - Experience with SAP Integration Suite monitoring and troubleshooting. - Basic understanding of SAP Identity Authentication Service (IAS), Identity Provisioning Service (IPS), role collections and SSO concepts. - Familiarity with cloud operations, incident management, and IT service processes. - Knowledge of hybrid SAP environments (SAP S/4HANA, cloud and on-premises integrations) is beneficial. - Experience working within ITIL-based support processes including Incident, Problem and Change Management. Education & Professional Experience : - Bachelor's degree in computer science, Information Systems, Business Informatics, or a comparable field of study. - 2 - 5 years of professional experience in SAP application support, SAP platform operations, system administration, or a comparable IT support role. - Experience working with SAP solutions such as SAP BTP, SAP S/4HANA, SAP Fiori, or SAP Integration Suite. - Proven experience in incident, problem, and service request management within an enterprise IT environment. - Basic understanding of cloud technologies, integration scenarios, and monitoring concepts. - Experience working with ticketing systems and IT service management processes (e.g. ITIL) is considered an advantage. Personal & Professional Competencies : - Strong customer and service orientation. - Strong analytical and problem-solving skills. - Structured, reliable, and solution-focused working style. - Excellent communication and teamwork skills. - Ability to work independently and manage multiple priorities. - High motivation to learn and continuously develop SAP BTP expertise. Language Requirements : - Business-fluent English (written and spoken). Nice to Have : - Experience with SAP Cloud Transport Management. - Basic knowledge of CI/CD and DevOps concepts. - Exposure to SAP Identity Services (IAS/IPS). - Experience supporting hybrid SAP landscapes and collaborating with SAP Basis and infrastructure teams on SAP Cloud Connector, network connectivity, and firewall-related incidents. - SAP BTP or SAP Integration Suite certifications. - Basic knowledge of CAP, Build Work Zone, Build apps, Build Process Automation, Event Mesh, or Workflow Management. What We Offer : - Opportunity to work in a modern SAP cloud environment. - Exposure to innovative SAP BTP technologies and transformation programs. - Collaboration with experienced SAP BTP architects and experts. - Continuous learning and certification opportunities. - Participation in strategic SAP transformation initiatives.

KSB - SAP BTP Consultant 

Job Overview : The VP, IAM Engineering is a mid-senior leadership hands-on role responsible for overseeing the strategic direction, implementation, and management of the organization's authentication and access programs. This role is pivotal in ensuring secure, efficient, and compliant identity and access management processes. The VP will work closely with cross-functional teams to align Authentication & access strategies with business goals and regulatory requirements, driving innovation and continuous improvement in login and access. Responsibilities : 1. Strategic Leadership : - Develop and execute a comprehensive IAM Auth & access strategy that aligns with business objectives and regulatory requirements. - Provide visionary leadership to drive innovation and improvements in auth and access processes. - Define and communicate the strategic direction for auth and access initiatives across the organization. 2. Authentication & Access Program Management : - Oversee the design, implementation, and maintenance of auth and access solutions, including login, authorization etc. - Ensure optimal performance, scalability, and security of auth and access systems. - Lead the integration of auth and access solutions with other IT and business systems. 3. Team Leadership and Development : - Build, lead, and mentor a high-performing auth and access team. - Foster a culture of continuous learning and professional development within the team. - Conduct regular performance reviews and provide constructive feedback. 4. Collaboration and Stakeholder Management : - Collaborate with IT, HR, Compliance, and other departments to ensure seamless auth and access processes. - Engage with senior management and key stakeholders to communicate auth and access strategies and progress. - Manage relationships with external vendors and partners related to auth and access solutions. 5. Risk Management and Compliance : - Ensure auth and access practices comply with relevant regulations and standards. - Conduct regular risk assessments and audits of auth and access systems and processes. - Develop and implement mitigation strategies for identified risks. 6. Process Improvement and Innovation : - Continuously evaluate and improve auth and access policies, procedures, and technologies. - Stay updated with industry trends and advancements in auth and access and cybersecurity. - Drive the adoption of best practices and emerging technologies in auth and access. 7. Budget and Resource Management : - Develop and manage the auth and access budget, ensuring efficient allocation of resources. - Optimize the use of tools, technologies, and personnel to achieve auth and access objectives. What are we looking for? We want strong hands-on leader who can develop and execute a comprehensive auth and access strategy. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and can execute in a way that encourages creativity and continuous improvement. Requirements : - Minimum of 10 years in IT or cybersecurity with at least 5 years in a leadership role focused on Auth/IAM. - In-depth knowledge and hands-on experience with auth and access solutions such as, ForgeRock Cloud. - Minimum 5 years of working and managing of ForgeRock or Okta or Entra ID platform mandatory. - Minimum 5 years of solution design, integration architecture, technical development, and deployment experience of auth and access solutions and products preferably ForgeRock or Okta or Entra ID. - Experience in installing, configuring, customizing and performance tuning of ForgeRock. Core Competencies : - Proven track record of successful auth and access implementations and support of those applications. - Strong decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate actions. - Organizational skills that enable one to work on several tasks simultaneously, providing management with appropriate insight into the workload and priorities. - Original and innovative thinking that produces new ideas and creates innovative solutions. - Demonstrated ability to develop and implement process improvement initiatives. Preferences : - Working knowledge of DevOps (Octopus, GitHub).

Remote

Anywhere in India/Multiple Locations

Vice President - iAM Engineering 

Sonata Software is a global technology company that enables businesses to transform, grow, and succeed in the digital economy. We are seeking a skilled .NET Full Stack Developer to join our team. Mandatory Skills : - .NET - C# - .NET Core - Entity Framework - Web API - JavaScript, jQuery - Kendo - AWS, HTML5/CSS3, and SQL Server. Job Summary : We are looking for an experienced .NET Full Stack Developer with expertise in .NET, C#, .NET Core, Entity Framework, Web API, JavaScript, jQuery, Kendo, AWS, HTML5/CSS3, and SQL Server. The ideal candidate will have a strong understanding of software development principles, patterns, and practices. Responsibilities : - Design, develop, and deploy scalable and secure .NET applications. - Build RESTful APIs using Web API and Entity Framework. - Implement frontend logic using JavaScript, jQuery, and Kendo UI. - Develop cloud-based applications using AWS services. - Ensure cross-browser compatibility using HTML5/CSS3. - Design and implement databases using SQL Server. - Collaborate with cross-functional teams to identify and prioritize project requirements. - Participate in code reviews, ensuring high-quality code and adherence to industry standards. - Troubleshoot and resolve technical issues. Requirements : - 7+ years of experience in .NET development (C#, .NET Core). - Strong expertise in : 1. .NET Framework 2. C# 3. .NET Core 4. Entity Framework 5. Web API 6. JavaScript 7. jQuery 8. Kendo UI 9. AWS services 10. HTML5/CSS3 11. SQL Server - Experience with agile development methodologies. - Excellent problem-solving skills and attention to detail. - Effective communication and collaboration skills. Nice To Have : - Experience with microservices architecture. - Knowledge of containerization (Docker). - Familiarity with DevOps practices (CI/CD). - Experience with cloud-based databases (AWS Aurora, Azure SQL). - Knowledge of security best practices (OWASP). What We Offer : - Competitive salary and benefits package. - Opportunity to work on challenging projects. - Collaborative and dynamic work environment. - Professional development and growth opportunities. - Flexible working hours and remote work options.

Sonata Software - .Net Full Stack Developer 

Job Description : Roles and Responsibilities : - Design, build, and continuously improve production AI systems for complex healthcare workflows, including documentation, coding, denial management, appeals, and revenue cycle automation. - Prototype new AI capabilities from 0 to 1, then harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, and performance gates. - Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, reliability, cost, and business impact. - Own outcomes end to end: understand the workflow, design the system, inspect failures, improve the system, and prove that the improvement matters. - Set technical direction for a portfolio of projects, review designs, and mentor engineers as a technical lead. - Partner with research, ML engineering, platform, and product teams on model selection, training, infrastructure, and Productionalization. Skills Required : - 5 - 10 years of Applied Research, ML engineering, research engineering, software engineering, or applied AI experience. - A track record of shipping and operating production systems, ideally in ambiguous, high - stakes domains. - Prior experience in healthcare, revenue cycle management, or other regulated industries is a plus, not a requirement. Education : - Bachelor's degree in computer science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience. - Master's or PhD in Computer Science, AI/ML, or a related field is a plus.

Ensemble Health Partners - Lead AI Engineer 

Job Description : Roles and Responsibilities : Engineering Strategy & Platform Leadership : - Define and execute the software engineering roadmap aligned with product and business priorities. - Own architectural direction and technical standards across services, platforms, and applications. - Drive enterprise-wide adoption of AI coding tools such as GitHub Copilot, Claude Code, Cursor, and agent-based frameworks. - Drive adoption of modern engineering practices including cloud-native design, microservices, event-driven architectures, and API-first development. - Balance innovation with scalability, performance, security, and operational stability. Execution & Delivery Excellence : - Own end-to-end delivery for multiple software engineering teams and pods. - Establish predictable delivery models through strong planning, capacity management, and dependency tracking. - Design and scale agent-based development workflows (multi-agent orchestration for design, coding, testing, and PR preparation). - Ensure production readiness, SLAs, incident management, and continuous improvement practices. - Partner with Architecture and DevOps teams to improve CI/CD, observability, reliability, and deployment maturity. Quality, Security & Compliance : - Champion engineering quality, code standards, and design best practices across teams. - Ensure compliance with security, privacy, and regulatory requirements relevant to healthcare technology. - Drive engineering accountability for performance, scalability, availability, and cost optimization. People Leadership & Talent Development : - Lead and scale a large, multi-team Software Engineering organization. - Manage and develop Senior Managers, Engineering Managers, Tech Leads, and senior engineers. - Own hiring strategy, onboarding, performance management, succession planning, and leadership development. - Build a strong engineering culture focused on ownership, accountability, technical excellence, and continuous learning. Stakeholder Collaboration : - Partner closely with Product, Data, AI/ML, Platform, Security, and Business leaders to align priorities. - Communicate progress, risks, trade-offs, and roadmap decisions clearly to senior leadership. - Translate complex business needs into executable technical strategies. Skills Required : - 15+ years of experience in software engineering, product engineering, or platform engineering. - 6+ years leading large, multi-team engineering organizations (30+ engineers). - Proven experience managing managers and senior technical leaders. - Strong hands-on background in modern software engineering stacks (cloud platforms such as Azure/AWS, microservices, APIs, distributed systems). - Deep understanding of SDLC, DevOps, CI/CD, reliability engineering, and cloud operations. - Strong architectural mindset with the ability to influence cross-team technical decisions. - Exceptional communication skills with the ability to influence without authority. Education : Bachelor's Degree in Engineering.

Ensemble Health Partners - Director - Software Engineering 

Job Description : Project Manager - DIA AI/ML Organization : Data, Insights & Applications (DIA) - AI/ML Location : Bengaluru, India (Hybrid : Work from Office) Experience : 6 - 10 Yrs Role Overview : We are seeking a Project Manager - DIA AI/ML to lead the end to end delivery of AI/ML and GenAI initiatives across Applied Materials. This role partners closely with AI/ML engineers, data teams, platform, security, and business stakeholders to ensure projects are delivered with clear scope, predictable timelines, strong governance, and production readiness. Key Responsibilities : - Lead AI/ML project delivery from intake and planning through execution, rollout, and closure. - Drive requirements kickoff, define scope and success criteria, and support effort and cost estimation (VROM). - Establish and manage project governance, including Jira boards, Confluence spaces, milestones, and delivery cadence. - Coordinate cross functional teams across AIML, Data, Engineering, Platform, Security, and Operations. - Track progress, risks, dependencies, and mitigation plans; communicate status to stakeholders and leadership. - Ensure infra, data access, security, and compliance readiness for AI/ML solutions across DEV/QA/PROD. - Support rollout, transition, documentation, and operational handoff. - Capture lessons learned and contribute to continuous improvement of DIA delivery practices. Tech Stack & Requirements : - In-depth understanding of ML, DL, Hyperscalar AI Solutions (Preferred Azure). - Worked on multiple GenAI and ML/DL Solution deployment. - Expertise in entire SDLC, project closure, ROI calculation, Business use case presentation etc. - Experience managing AI/ML, GenAI, or data driven projects in an enterprise environment. - Strong understanding of Agile and hybrid delivery models. - Excellent stakeholder management and cross team coordination skills. - Hands on experience with Jira, Confluence, and modern delivery tooling. - Ability to manage ambiguity, dependencies, and technical trade offs effectively. Preferred Qualifications : - PMP or similar project management certification (preferred). - Experience working with cloud platforms, data pipelines, or AI/ML platforms. - Exposure to governance, security, or compliance processes in enterprise environments. Good to have : - Knowledge of the semiconductor domain and experience working on semiconductor or manufacturing focused products. - Prior product management experience, including exposure to roadmaps, product requirements, or business driven prioritization. What Success Looks Like : - AI/ML initiatives delivered on time, within scope, and with high quality. - Stakeholders aligned and informed throughout the project lifecycle. - Solutions deployed with strong governance, scalability, and operational readiness.

GyanSys - Project Manager - Artificial Intelligence/Machine Learning 

Position : Senior Full Stack Engineer/ Technical Lead .NET Core | Azure | React | AI Location : Bangalore Job Summary : We are looking for a Senior Full Stack Engineer with strong hands-on experience in C#/.NET Core, Azure, React, and AI-enabled application development. The ideal candidate will be responsible for designing, developing, and operating secure, scalable enterprise applications in a global and regulated environment. You will work across the complete technology stack, contribute to architecture and technical decisions, and build AI-native products and workflows using modern AI coding agents such as Claude Code, Codex, or similar tools. Key Responsibilities : - Design and develop modern web applications using React, Next.js, TypeScript, HTML, and CSS. - Develop scalable backend services and REST APIs using C#, .NET Core, ASP.NET, WebAPI, and MVC. - Design and implement cloud-native solutions using Microsoft Azure PaaS services. - Use AI-assisted and agentic development practices using tools such as Claude Code, Codex, or similar AI coding agents. - Follow spec-driven development practices where detailed specifications guide development, testing, and AI-agent implementation. - Design and implement AI-powered application features, including LLM integrations, prompt engineering, RAG, and AI-assisted workflows. - Evaluate and integrate AI APIs, models, and frameworks while considering security, responsible AI, cost, and observability. - Contribute to system architecture, technical design, REST APIs, integrations, and event-driven solutions. - Build secure and reliable applications with strong focus on performance, scalability, observability, privacy, and auditability. - Own features end-to-end, from technical design and development through testing, deployment, and production support. - Implement logging, monitoring, alerting, incident support, and operational documentation. - Work closely with Product, Implementation, and Client-facing teams to translate business requirements into technical solutions. - Conduct code reviews, mentor engineers, and provide technical guidance to the development team.

Nous Infosystems - Senior Software Development Engineer/Technical Lead - Full Stack Technologies 

Role Overview : As a Machine Learning Engineer, you will be responsible for designing, deploying, and maintaining production-grade models that drive our core product features. You will work closely with cross-functional teams, including data scientists, backend engineers, and product managers, to translate business requirements into robust technical architectures. Your work will directly impact how our clients process large-scale data, ensuring that our machine learning pipelines are efficient, scalable, and capable of delivering real-time insights that improve business outcomes. Key Responsibilities : - Architect and implement end-to-end machine learning pipelines to automate data processing and model training for enterprise clients. - Develop and optimize deep learning models and computer vision algorithms to enhance the accuracy and performance of our core diagnostic platforms. - Integrate Large Language Models into existing workflows to improve natural language understanding and automated response capabilities for end-users. - Collaborate with engineering teams to deploy models into production environments, ensuring high availability and low-latency performance. - Monitor model performance in production, implementing feedback loops to refine algorithms and maintain high standards of predictive accuracy. - Document technical processes and model architectures to facilitate knowledge sharing and maintain code quality across the engineering department. Required Skillset : - 4 to 9 years of hands-on experience in building and scaling machine learning systems. - Demonstrated expertise in Python for developing complex machine learning applications and data processing scripts. - Proven ability to design and implement deep learning architectures and computer vision solutions using frameworks like PyTorch or TensorFlow. - Strong understanding of LLM integration, including fine-tuning techniques and prompt engineering for enterprise-scale applications. - Ability to communicate complex technical concepts to non-technical stakeholders, ensuring alignment on project goals and deliverables. - Experience working in a remote-first environment, demonstrating self-discipline and the ability to collaborate effectively across distributed teams.

Machine Learning Engineer 

AI Engineer (Backend) Banyan Software TechGrove is the Centre of Excellence for Banyan Software, based in Chennai, India. It plays a key role in supporting Banyan's global businesses through technology, security, and software development. TechGrove brings together India's deep pool of technical talent with Banyan's long-term approach to growth, creating a trusted, developer-focused environment where people can do their best work. Role Overview : We're seeking an experienced AI Engineer with strong backend engineering skills to build and operate the AI agents and Python services behind our property-management platform. This role is responsible for developing agent-based workflows, the FastAPI services around them, and the evaluation, guardrails and cost controls that make AI output reliable enough for production use in an audit-sensitive domain. Key Responsibilities : - Design, build and extend agent workflows - supervisor routing, tool calling, human-in-the-loop approval, guardrails and fallback chains. - Develop and maintain FastAPI backend services with REST and SSE streaming, async SQLAlchemy, Alembic migrations and JWT-based authentication. - Implement RAG retrieval and grounding over technical documentation and historical work orders, so AI recommendations can cite their evidence. - Build and own the evaluation harness - replay testing against golden traces, fake-LLM unit tests, and behaviour-drift detection in CI. - Manage AI cost and reliability controls - per-tenant token budgets, rate limits, usage tracking and multi-model routing through the model gateway. - Define and version the schemas and API contracts exchanged between agents and services, with automated contract testing against OpenAPI specs. - Integrate AI agents with ERP and third-party systems, and contribute to the spec-driven code generation pipeline. Required Skills & Experience : - Strong Python engineering with production services - async, typing, testing and packaging. - Hands-on production experience with LLM orchestration frameworks (LangGraph, LangChain or equivalent), tool calling and structured output. - Proven experience evaluating non-deterministic systems - eval harnesses, replay testing and regression detection. - Solid backend and API design skills - schema design, versioning, REST/SSE and event-driven patterns. - Strong relational database skills (PostgreSQL preferred) beyond ORM basics, including query performance analysis. - Working knowledge of AWS (ECS Fargate, Bedrock, S3, SQS/SNS) and CI/CD practices. - 5 - 8 years in software engineering, including at least 18 months building production LLM/AI systems.

Banyan Software - AI Engineer 

About Sonata Software : Sonata Software, with over $1.2 Billion in revenue, is a leading AI-first Modernization Engineering company, powered by its unique Platformation framework. With 6,400+ AI Engineers, Sonata helps enterprises transform legacy systems into intelligent business platforms that drive speed, efficiency, innovation, and growth. Sonata provides Modernization Engineering Services across Cloud, Data, AI, Dynamics, Test Automation, and Managed Services. Its AI-led modernization capabilities are supported by proprietary platforms and tools, including the Harmoni.AI Enterprise Platform, AgentBridge, Agent Builder, and Agent Marketplace. Headquartered in Bengaluru, Sonata has a strong global presence across the US, UK, India, Malaysia, Mexico, Australia, DACH, and Nordics. The company works with Fortune 500 organizations across Banking, Financial Services & Insurance, Healthcare & Lifesciences, Telecom, Media & Technology, Retail, Manufacturing, and Distribution. Sonata has longstanding strategic partnerships with Microsoft, AWS, Salesforce, and Snowflake, including more than 30 years of partnership with Microsoft. Role Overview : Sonata Software is looking for an experienced Entra ID Customer Engineer with strong expertise in Microsoft Entra ID, Identity and Access Management, Azure security, authentication, governance, and enterprise identity architecture. As a Customer Engineer, you will work directly with enterprise customers and their technical teams to provide expert technical advisory, architecture guidance, troubleshooting, security recommendations, and implementation support. The role involves establishing trusted-advisor relationships with customers and helping them assess, improve, secure, and modernize their identity environments. You will leverage structured Microsoft Intellectual Property (MIP) engagements, technical assessments, best practices, and Microsoft security capabilities to help customers achieve a healthy, secure, compliant, and well-governed identity environment. The ideal candidate should be comfortable operating at a 300400 level of technical depth, communicating with senior technical stakeholders, and translating complex identity and security challenges into practical solutions. Key Responsibilities : Customer Advisory & Technical Consulting : - Act as a trusted technical advisor for enterprise customers on Microsoft Entra ID and identity security. - Understand customer identity architectures, business requirements, security objectives, and operational challenges. - Conduct technical discovery sessions, architecture reviews, health assessments, and security assessments. - Recommend improvements aligned with Microsoft security and identity best practices. - Help customers establish secure and scalable identity architectures. - Guide customers through identity modernization and migration initiatives. - Provide technical workshops, demonstrations, knowledge-transfer sessions, and enablement programs. - Work closely with customer architects, security teams, infrastructure teams, application owners, and administrators. Microsoft Entra ID : - Design, configure, administer, and troubleshoot Microsoft Entra ID environments. - Provide expertise around Entra ID Role-Based Access Control (RBAC). - Manage and troubleshoot : User accounts Service principals Managed identities Security groups Microsoft 365 groups Enterprise applications Application registrations. - Review and optimize identity permissions and access models. - Identify excessive privileges and recommend appropriate access controls. - Support enterprise application onboarding and integration with Entra ID. Authentication & Identity Federation : - Provide deep technical guidance on enterprise authentication models. - Work with : Password Hash Synchronization (PHS) Pass-through Authentication (PTA) Federation Single Sign-On (SSO) OAuth 2.0 SAML OpenID Connect (OIDC) Kerberos FIDO2 Passkeys. - Troubleshoot authentication and federation issues. - Analyze authentication failures, token-related issues, sign-in errors, and application authentication problems. - Assist customers in transitioning from legacy authentication mechanisms to modern authentication. Identity Synchronization : - Design, implement, monitor, and troubleshoot Microsoft Entra Connect environments. - Work with Microsoft Entra Cloud Sync. - Troubleshoot synchronization issues involving : Users Groups Attributes Password hashes Devices Organizational units. - Analyze synchronization errors and recommend remediation. - Support hybrid identity architecture and Active Directory integration. Device Identity & Management : - Provide technical guidance on device identity and registration. - Work with: Microsoft Entra Hybrid Join Microsoft Entra Joined devices Azure AD Joined environments Device registration. - Troubleshoot device authentication and registration issues. - Support secure identity integration between on-premises Active Directory and cloud environments. Entra ID Security & Governance : - Design and troubleshoot Microsoft Entra Conditional Access policies. - Implement security controls around : MFA Device compliance User risk Sign-in risk Location Application access Authentication strength. - Review existing Conditional Access policies and identify gaps or conflicts. - Assist customers with Zero Trust-oriented identity controls. Identity Protection : - Configure and troubleshoot Microsoft Entra ID Protection. - Analyze risky users and risky sign-ins. - Assist with risk-based Conditional Access policies. - Investigate suspicious authentication activity. - Recommend controls to reduce identity-based security risks. Privileged Identity Management : - Implement and manage Microsoft Entra Privileged Identity Management (PIM). - Configure just-in-time privileged access. - Establish appropriate privileged-role governance. - Configure approval workflows and access controls. - Conduct periodic privileged access reviews. - Support least-privilege security models. Identity Governance : - Configure and manage : Access Reviews Entitlement Management Periodic reviews Self-service access Privileged access Compliance controls. - Help organizations establish identity governance frameworks. - Support compliance audits and identity-related security assessments. - Identify dormant, excessive, or inappropriate access. Self-Service Password Reset : - Configure and troubleshoot Self-Service Password Reset (SSSP). - Implement appropriate authentication methods. - Configure password protection policies. - Support password policy modernization. - Troubleshoot user registration and password reset issues. Active Directory Integration : - Strong understanding of on-premises Microsoft Active Directory. - Design and troubleshoot integration between Active Directory and Entra ID. - Work with: Domains Forests Trusts Organizational Units Group Policy Domain Controllers Service Accounts. - Troubleshoot hybrid identity issues. - Support migration from traditional Active Directory-based identity models toward cloud identity. Microsoft Graph API : - Demonstrate foundational knowledge of Microsoft Graph API. - Work with Graph API for identity and access management use cases. - Understand API-based management of: Users Groups Applications Service principals Directory objects. - Assist with automation and integration of identity-management processes. Monitoring & Troubleshooting : - Analyze identity and authentication logs to identify root causes. - Troubleshoot complex customer environments and production issues. - Use relevant Microsoft monitoring and security tools. - Analyze: Sign-in logs Audit logs Provisioning logs Authentication failures Conditional Access results Identity Protection alerts. - Provide root-cause analysis and remediation recommendations. - Document technical findings and recommended corrective actions. Customer Engagement : - Conduct technical discussions with enterprise IT and security teams. - Present architecture recommendations to technical and business stakeholders. - Lead customer workshops and technical deep dives. - Explain complex identity concepts in a clear and business-oriented manner. - Create technical documentation, assessment reports, architecture diagrams, and remediation plans. - Track customer engagement activities and follow through on agreed technical actions. - Collaborate with Microsoft, partners, and internal Sonata engineering teams when required. Optional / Good-to-Have Skills : - Microsoft Active Directory Federation Services (ADFS) Active Directory Certificate Services (AD CS) - Azure Monitor Microsoft Sentinel Microsoft Defender for Endpoint Microsoft Intune - Azure security services - Zero Trust architecture - Microsoft 365 security - PowerShell Identity migration projects - Enterprise security architecture Preferred Certifications : Candidates with one or more of the following certifications will be preferred : - Microsoft Certified : Identity and Access Administrator Associate - Microsoft Certified : Cybersecurity Architect Expert - Microsoft Certified Trainer (MCT) CISSP Certified Information Systems Security Professional Equivalent Microsoft, Azure, or identity/security certifications Experience & Qualifications : - 8 - 20 years of overall experience in IT, Cloud, Identity, Infrastructure, Cybersecurity, or related technologies. - Strong hands-on experience with Microsoft Entra ID and enterprise identity environments. - Experience working with large enterprise customers is highly desirable. - Experience in customer-facing consulting, technical advisory, solution architecture, or customer engineering roles. Strong troubleshooting and analytical skills. - Experience handling complex identity and authentication environments. - Ability to work independently on technically complex engagements. - Strong documentation and presentation skills. - Excellent verbal and written communication skills.

Sonata Software - Entra ID Customer Engineer 

Job Description: We are looking for an experienced Python Spark Lead responsible for designing, developing, and optimizing large-scale data processing solutions using Python, PySpark, Apache Spark, SQL, Airflow, and Control-M. The candidate will work on data engineering projects, build scalable ETL pipelines, optimize Spark jobs, and support enterprise data platforms. Key Responsibilities: - Develop and maintain scalable data processing pipelines using Python and PySpark. - Design, build, and optimize Apache Spark applications for large-scale data processing. - Write complex SQL queries for data extraction, transformation, and analysis. - Develop and manage ETL workflows using Spark and Python. - Schedule and monitor workflows using Apache Airflow and Control-M. - Perform Spark performance tuning, debugging, and optimization. - Work with large datasets and distributed computing environments. - Troubleshoot production issues and ensure data pipeline reliability. - Collaborate with data architects, analysts, and engineering teams. - Follow best practices for coding, testing, and deployment. Mandatory Skills: - Python - PySpark - Apache Spark - SQL - Airflow - Control-M - ETL/Data Pipeline Development - Spark Performance Optimization

Intellics - Python Spark Lead 

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