This role requires a strong blend of technical leadership, strategic thinking, and hands-on expertise in modern AI technologies including Generative AI.

You will be responsible for translating complex business requirements into scalable, secure, and cost-efficient AI architectures, ensuring alignment with enterprise standards and long-term technology strategy.

Competencies :

Technology Strategy & Decision Making :

- Evaluate and select appropriate AI/ML models, frameworks, and cloud services

- Drive architectural decisions balancing performance, cost, scalability, and security

- Establish AI best practices, reusable frameworks, and design standards Stakeholder Collaboration

- Partner with business leaders, product teams, and engineering teams to define AI strategy

- Translate business requirements into technical solutions and implementation roadmaps

Key Responsibilities Solution Architecture & Design :

- Lead end-to-end architecture for AI/ML and GenAI solutions across enterprise environments

- Design scalable architectures incorporating LLMs, RAG pipelines, multi-agent systems, and ML models .

- Define solution blueprints covering data ingestion, processing, model deployment, and monitoring Technology Strategy & Decision Making .

- Evaluate and select appropriate AI/ML models, frameworks, and cloud services.

- Drive architectural decisions balancing performance, cost, scalability, and security.

- Establish AI best practices, reusable frameworks, and design standards Stakeholder Collaboration.

- Partner with business leaders, product teams, and engineering teams to define AI strategy.

- Translate business requirements into technical solutions and implementation roadmaps

- Support pre-sales and proposal development with solution design and estimation Governance, Security & Compliance.

- Ensure AI solutions comply with enterprise security, governance, and regulatory standards.

- Define AI guardrails, monitoring strategies, and risk mitigation approaches.

- Drive responsible AI practices across solutions Leadership & Mentorship.

- Provide technical leadership and mentorship to AI Engineers and development teams.

- Review designs and guide implementation teams for successful delivery.

Required Must have Skills & Experience :

- 10+ years of experience in software engineering, architecture, or AI/ML domains

- Strong expertise in AI/ML, Deep Learning, NLP, and Generative AI

- Hands-on experience with LLMs, RAG architectures, embeddings, and vector databases

- Experience designing and deploying solutions on Azure AI / Azure OpenAI (preferred) or AWS/GCP - Strong understanding of distributed systems, microservices, and cloud-native architectures .

- Knowledge of data engineering pipelines and big data technologies

- Experience in model deployment, fine-tuning, inference optimization

- Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications :

- Certifications in Azure / AWS / GCP

- Experience with multi-agent frameworks (AutoGen, LangGraph, Semantic Kernel) .

- Exposure to FinOps and cost optimization strategies in AI workloads Key Responsibilities Key Responsibilities Solution Architecture & Design

- Lead end-to-end architecture for AI/ML and GenAI solutions across enterprise environments

- Design scalable architectures incorporating LLMs, RAG pipelines, multi-agent systems, and ML models .

- Define solution blueprints covering data ingestion, processing, model deployment, and monitoring Technology Strategy & Decision Making.

- Evaluate and select appropriate AI/ML models, frameworks, and cloud services .

- Drive architectural decisions balancing performance, cost, scalability, and security.

- Establish AI best practices, reusable frameworks, and design standards Stakeholder Collaboration.

- Partner with business leaders, product teams, and engineering teams to define AI strategy.

- Translate business requirements into technical solutions and implementation roadmaps

- Support pre-sales and proposal development with solution design and estimation Governance, Security & Compliance

- Ensure AI solutions comply with enterprise security, governance, and regulatory standards

- Define AI guardrails, monitoring strategies, and risk mitigation approaches - Drive responsible AI practices across solutions Leadership & Mentorship - Provide technical leadership and mentorship to AI Engineers and development teams - Review designs and guide implementation teams for successful delivery.

Good to Have Skills and Preferred Qualifications :