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Tata Consultancy Services

Posted 25 Aug 2026

Sr AI Engineer

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Team
TECHNOLOGY
Posted
25 Aug 2026

About the role

1. Build & Ship GenAI / Agentic Features

•Develop and deploy RAG pipelines, agent workflows, copilots, and AI-powered microservices on Azure, AWS or GCP — typically across more than one cloud per engagement.

•Implement chunking, embedding, indexing, hybrid retrieval and re-ranking strategies tuned to banking corpora (policy documents, regulatory text, contracts, customer correspondence, code, structured data).

•Design and implement tool-use, function-calling and structured-output patterns; orchestrate multi-step agents with planning, reflection, memory and human-in-the-loop checkpoints.

•Integrate with banking systems of record (core banking, CRM, ECM/document repositories, fraud platforms, ticketing systems) via secure APIs and event streams.

2. Quality, Evaluation & Safety

•Build and maintain golden datasets and evaluation harnesses; instrument pipelines with metrics for groundedness, faithf ulness, latency-per-token, cost-per-call and user-feedback signals.

•Implement guardrails — input filtering, output validation, schema enforcement, PII redaction, prompt-injection defenses and jailbreak detection.

•Participate in red-teaming exercises and remediate findings; contribute to model cards and decision logs for audit and MRM reviews.

3. MLOps / LLMOps & Reliability

•Containerize services, write infrastructure-as-code, and ship through CI/CD pipelines including evaluation gates for prompts, chains and agents.

•Set up observability for AI systems — distributed tracing, prompt/response logging (with redaction), token-level cost dashboards, and alerting on quality regressions.

•Own production support for your services on a rotating basis; conduct blameless post-mortems and drive permanent fixes.

4. Collaboration & Continuous Learning

•Partner with product managers, designers and banking SMEs to shape requirements and demonstrate progress through frequent, working increments.

•Contribute to internal accelerators, reusable components, and the AI engineering knowledge base; mentor junior engineers and interns.

•Stay current with the rapidly evolving GenAI/Agentic ecosystem — models, frameworks, evaluation techniques, and security patterns — and bring relevant innovations into the practice.

Qualifications: BACHELOR OF TECHNOLOGY

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