{"id":3810223,"url":"https://alion.io/job/tech-mahindra-agentic-ai-leadarchitect-2","title":"Agentic AI Lead/Architect","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BGP","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"VPN","optional":false}],"status":"live","first_seen_at":"2026-11-05T14:38:15Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-10T07:25:07Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description\n\nSkill Set :\nAI / ML / DL\n\nTotal Experience :\n7.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n26/10/2026\n\nJob Expiry Date :\n04/12/2026\n\nDomain :\nIT\n\nLocation :\nMUMBAI [India]\n\nJob Reference No :\n4114773\n\nJob Summary\nRole Title-Gen AI Lead/Architect,\nLocation- Navi Mumbai\nExperience - 7 to 15 years\nMust have / Primary\n- GenAI / LLM\n- AI Agent development\n- LangChain\n- LangGraph\n- Hands-on development experience\nStrong differentiator\n- Networking domain experience\n- BGP / Routing / VPN understanding\n- AI + Networking combination\nAdditional differentiator\n- Vector search\n- ML model training/deployment\n- Production ML experience\n- Model monitoring/drift\nKey Customer Expectations\n1. Strong hands-on AI/Agentic AI experience\n- Hands-on experience with LangChain and LangGraph.\n- Experience building AI agents and GenAI/LLM-based applications.\n- Vector search experience is desirable.\n- Preference should be given to candidates who have actually built and deployed solutions rather than candidates with only theoretical knowledge.\n2. Engineering ownership and accountability\n- Engineers will be expected to take ownership of the modules/use cases they develop.\n- They should be able to independently understand the objective, clarify requirements where required and deliver the solution.\n- Candidates should demonstrate accountability for the code they produce, including code generated using AI coding tools.\n- Simply relying on AI-generated code without understanding or validating it will not meet the expectation.\n3. Strong technical discipline\nCandidates should demonstrate the ability to:\n- Review their own architecture and implementation.\n- Challenge and improve the proposed solution.\n- Validate technical correctness before considering work complete.\n- Iterate when the solution does not work as expected.\n- Avoid creating technical debt through rapid AI-assisted development.\n4. 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