Job highlights

- Expertise in AI/ML with AWS services (Bedrock, SageMaker, Lambda), LangChain, LangGraph, and LLM prompt engineering

- Design, develop, and deploy scalable AI/ML and Generative AI solutions; build Agentic AI applications; integrate AI with enterprise systems; ensure scalability and security; lead AI strategy and innovation

Role & responsibilities

- Design, develop, and deploy scalable AI/ML and Generative AI solutions on AWS using Bedrock, SageMaker, Lambda, and related services.

- Build and optimize Agentic AI applications using LangChain and LangGraph, including multi-agent workflows and orchestration.

- Develop LLM-powered solutions leveraging Claude and other foundation models, with expertise in prompt engineering, RAG, fine-tuning,



and model evaluation.

- Integrate AI solutions with enterprise applications, APIs, and cloud-native architectures.

- Ensure AI solutions meet scalability, security, performance, and reliability requirements.

- Collaborate with cross-functional teams to define AI strategy, architecture, and best practices.

- Drive innovation through adoption of emerging AI technologies, frameworks, and industry best practices.

- Provide technical leadership, mentoring, and support for AI/ML initiatives.

📌 Ai Ml Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune