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Job Description

Description :

- Experience : 4.5-8 years

- Location : Bangalore (Hybrid)

- Mandatory Skills : Python, Gen AI, cloud platforms (AWS, GCP, or Azure), VBA.

- Immediate to 30 days candidates preferred.

Job Summary :

The Senior AI Developer will play a critical role in designing and developing intelligent automation solutions that integrate SAP and non-SAP data sources to address complex business challenges. The role involves leading the development of AI-enhanced data analytics solutions, creating automation tools using Generative AI, and building bi-directional interfaces between SAP, cloud services, and frontend platforms such as Excel, VBA, and Python. The ideal candidate is a hands-on technologist with deep expertise in Python and cloud-native architectures, who thrives in highly creative and fast-paced environments.

This position will lead a small team of Python developers and play a strategic role in shaping AI-driven business solutions.

Key Responsibilities :

- Design and architect AI-enhanced solutions integrating SAP data, external cloud data sources (e.g., Google BigQuery, Amazon Redshift), and local file-based inputs

- Lead development of automation tools and bots using Generative AI (e.g., Amazon Bedrock, custom GPTs, Amazon Lex) to interact with APIs, databases, and back-end systems for real-time data processing and response

- Collaborate with functional and business teams to gather requirements, define logic, and modularize business processes for AI-assisted code generation

- Develop intelligent frontend tools using Python, VBA, and Excel to streamline and automate business workflows

- Build, test, and deploy predictive models using machine learning and statistical techniques (forecasting, regression, simulation, etc.)

- Define and maintain coding standards, Git-based repositories, and CI/CD pipelines for AI and automation development

- Monitor and troubleshoot solution performance across SAP and non-SAP environments; ensure high availability and scalability

- Drive innovation by applying AI and cloud services to modernize business processes such as Order-to-Cash (OTC) and Procure-to-Pay (P2P)

- Oversee development of reusable code modules and AI frameworks; mentor junior Python developers

- Ensure secure and efficient integration of AI services with AWS, SAP systems, and third-party applications

- Maintain thorough documentation of design decisions, architecture, and processes

- Stay updated on evolving AI tools, LLMs, and cloud platforms to continually improve solution capability

Area of Focus :

- Python and VBA-based development for business process automation

- SAP integration (data extraction, update via APIs or file-based interfaces)

- AWS Services : Lambda, Bedrock, Lex, and others

- Generative AI-based development and automation

- Cloud data platforms : Google BigQuery, Amazon Redshift

- Excel dashboards, macros, and Python-based UIs

- Git-based version control and CI/CD workflows

- Advanced debugging, logging, and performance optimization

- Development of prediction and statistical models

- Bi-directional data flow design between SAC, BW, SAP, and external systems

Qualifications :

Education :

- Required : Bachelors Degree in Computer Science, Engineering, Data Science, or a related field

- Preferred : Masters Degree in Artificial Intelligence, Machine Learning, or equivalent

Experience :

- Minimum 4.5 years of strong hands-on experience in Python and VBA development

- Experience using Generative AI tools to automate coding and workflow design

- Proven experience developing and integrating solutions with business applications (data read/write, process automation)

- At least 2 years of experience working with cloud platforms (AWS, GCP, or Azure), including developing Lambda functions, APIs, or microservices

- Background in machine learning, data analytics, forecasting, regression, and simulation techniques

- Experience with SQL, Python data libraries (e.g., Pandas, NumPy, scikit-learn), and cloud databases

- Experience with GitHub/GitLab, DevOps tools, and implementation of CI/CD pipelines

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