Posted 04 June, 2026
AWS , AIML , Gen AI/ Agentic AI Architect
Tata Consultancy Services
Chennai, TN, IN
Full Time
Reference: 05749839c16c357d
Job Description
TCS Hiring !!AWS , AIML , Gen AI/ Agentic AI Architect\n\nCandidates with less experience THAN 10 years of experience need not apply\n\nMust have : AWS , AIML , Gen AI/ Agentic AI Architect\nExperience only 10 - 12\n\nPlease read Job description before Applying\n\nNOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:\nName:\nContact Number:\nEmail ID:\nHighest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)\nCurrent Organization Name:\nTotal IT Experience-10- 12\nChennai, (TBD\nCurrent CTC\nExpected CTC\nNotice period:\nWhether worked with TCS - Y/N\n\n2\nRequired Technical Skill Set**\nGen AI, Prompt Engineering, RAG Pipeline, LLM Orchestrator, Responsible AI, LLMOps\nPython, Pydantic, FastAPI, LangChain, LangGraph, Semantic Kernel, FastMCP\nAI standards and protocols: MCP, A2A, ACP, Guardrails\nWorking Experience in Google Vertex AI is a must.\nEnterprise Architecture, Design Patterns\nDesign cloud-native architectures using Vertex AI, Cloud Run, BigQuery, Pub/Sub\nEnsure Responsible AI, security, governance, and compliance\nCreate HLDs, LLDs, and reference architectures\nMentor teams and guide PoCs, pilots, and production rollouts\n\nChennai\n\nDesired Competencies (Technical/Behavioral Competency)\nMust-Have**\n(Ideally should not be more than 3-5)\nHands-on experience in LLM and Generative AI application development\nExperience in designing and deploying AI/ML solutions using one of the major cloud providers GCP and Vertex AI (added advantage if also have experience in Azure, AWS)\nDeep understanding of RAG, Agents, Agentic AI, MCP, A2A, ACP\nExperience with AI cost modeling and performance evaluation\nFamiliarity with Responsible AI frameworks and security protocols and Red Teaming tools (Garak, Evals)\nGood-to-Have\nBackground in machine learning, deep learning, and NLP\nProficiency in API design, microservices, and integration architectures\nTelecom eCommerce & Selfcare Domain Knowledge