Role & responsibilities
Agentic AI & GenAI Engineering
Develop and maintain AI agents with autonomous task execution capabilities (reasoning, planning, tooluse, API orchestration).
Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases for accurate, contextaware retrievals.
Finetune LLMs and apply advanced prompt engineering strategies tailored to NatWest domains.
Build evaluation frameworks for accuracy, latency, hallucination reduction, and reliability.
Java & FullStack Engineering
Design & develop Java/Spring Boot microservices powering AI agent workflows.
Build secure, scalable backend services integrating AI agents with enterprise APIs.
Support UI/Frontend integration (React/Angular preferred).
Ensure code quality, automated testing, CI/CD alignment, and robust deployment.




Enterprise Integration & Cloud Platforms
Integrate agentic workflows with AWS services (Lambda, S3, Redis, RDS, EKS).
Work with enterprise orchestration, eventing (Kafka), message flows, and internal tooling.
Implement secure operational models aligned with NatWest Responsible AI standards.
Collaboration & Delivery
Work in a permanent Agile feature team (engineers, architects, BAs, SMEs).
Participate endtoend in SDLC: requirements design build test deployment operations.
Partner with NatWest AI SPOCs, DP groups, and portfolio teams to accelerate adoption of Agentic solutions.

📌 Agentic Ai Architect Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad