Role & responsibilities

1. 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.

2. 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.

3.



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.

4. 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