GenAI Technical Lead Experience Level: Minimum 7-10 years of total IT experience (at least 2+ years in Generative AI, LLMs, or related AI/ML technologies)
• Should have robust technical expertise in Python, hands-on experience with at least one GenAI framework (LangGraph, LangChain, or Google AI Development Kit), and strong working knowledge of one hyperscaler platform (Google Cloud, Azure, or AWS).
• The associate should lead solution design, integrating LLMs into enterprise workflows, mentoring team members, and driving production-grade implementation of GenAI use cases.
• Good knowledge of MLOps or DevOps teams to automate model deployment, versioning, and monitoring.

Key Responsibilities
1. Solution Design
• Design, architect, and implement Generative AI workflows and agents using frameworks such as LangChain, LangGraph, or Google ADK.
• Integrate LLMs (e.g., Llama, Gemini, GPT, Claude) into enterprise systems and custom applications.
• Define and implement retrieval-augmented generation (RAG) pipelines using vector databases (e.g., ChromaDB, Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).
• Architect scalable and secure GenAI microservices leveraging cloud-native components. 2. Development & Implementation
• Lead Python-based development efforts for building prompt orchestration, tool agents, and data pipelines.
• Develop and deploy APIs or microservices integrating LLMs with enterprise data sources.
• Implement prompt optimization, context management, and model performance tuning. 3. Cloud Integration
• Architect, deploy, and monitor GenAI workloads on one hyperscaler:
• GCP (Vertex AI, Document AI, AlloyDB, BigQuery, Cloud Run)
• Azure (OpenAI Service, Cognitive Search, Azure ML)




• AWS (Bedrock, SageMaker, Lambda, API Gateway)
• Manage cloud infrastructure for scaling AI models, ensuring cost efficiency and compliance. 4. Leadership & Mentoring
• Lead a small team of AI engineers and developers.
• Conduct code reviews, enforce best practices, and mentor junior engineers.
• Collaborate closely with product owners, data engineers, and business stakeholders to translate business needs into technical requirements.
• Contribute to internal GenAI capability building and reusable assets for the organization. Required Skills &

Experience:
• Core Technical Skills
• Python (advanced proficiency; ability to build APIs, pipelines, and modular frameworks).
• Hands-on with at least one GenAI framework:
• LangChain, LangGraph, or Google ADK (AI Development Kit).
• Expertise with LLM integration (OpenAI API, Gemini API, Ollama, Hugging Face, etc.).
• Experience with RAG, embeddings, and vector databases.
• Familiarity with PEFT, LoRA, or prompt fine-tuning approaches.
• Cloud / Hyperscaler Expertise (at least one required)
• Google Cloud Platform (GCP) – Vertex AI, Document AI, BigQuery, AlloyDB, Cloud Run, IAM
• Azure – Azure OpenAI, Cognitive Search, Azure ML, Azure Functions
• AWS – Bedrock, SageMaker, Lambda, API Gateway, DynamoDB
• Other Desirable Skills
• Knowledge of REST APIs, JSON, and FastAPI/Flask frameworks.
• Familiarity with data governance, PII handling, and AI ethics principles.
• Understanding of Docker/Kubernetes, CI/CD, and Git-based version control.
• Exposure to front-end integration with AI chat agents (React, Streamlit, Gradio, etc.) is a plus.
•

Location:
• Offshore, open to all TCS ODC located areas

📌 GenAI Technical Lead (Open Hall-Red Cliffe)
🏢 TATA Consultancy Services
📍 Open Hall-Red Cliffe