Skills and Responsibilities:
• End-to-End GenAI Architecture Design scalable AI/GenAI solutions on Azure using AI Foundry, Azure OpenAI, and Azure AI Search.
• Agentic & Multi-Agent System Design Architect advanced AI systems with LangChain/LangGraph, enabling tool-calling, routing, memory, and stateful workflows.
• Reference Architecture Definition Define reusable architectures for RAG, conversational AI, document processing, copilots, and decision-support systems.
• LLM Orchestration Frameworks govern implementation of chains, retrievers, tools, and graph-based workflows with best practices for modular orchestration.
• Advanced Workflow Patterns Establish patterns like supervisor-worker models, branching logic, and human-in-the-loop interactions.
• Prompt Engineering & Evaluation Strategy Standardize prompt design, versioning, testing, regression, and observability (logs, traces, metrics).
• NLP & Language AI Leadership Lead design of NLP solutions (classification, summarization, semantic search, entity extraction) using Azure AI Language.
• Python & AI Engineering StandardsGuide API/microservices architecture, enforce coding standards, and optimize performance, cost, and lifecycle ma nagement.
• Enterprise Security & Governance Ensure compliance with BFSI standards using Entra ID, RBAC, VNET, private endpoints, and Responsible AI practices.
• Stakeholder Engagement & Pre-Sales Drive workshops, translate business needs into architectures/ADRs, and support RFPs, proposals, and client solutioning.

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.