Agentic AI Lead/Architect
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 5, 2026. Tech Mahindra scores A on the Alion truth index.
Job Description
Skill Set :
AI / ML / DL
Total Experience :
7.00 to 10.00 Years
No of Openings :
1
Job Post Date :
26/10/2026
Job Expiry Date :
04/12/2026
Domain :
IT
Location :
MUMBAI [India]
Job Reference No :
4114773
Job Summary
Role Title-Gen AI Lead/Architect,
Location- Navi Mumbai
Experience - 7 to 15 years
Must have / Primary
- GenAI / LLM
- AI Agent development
- LangChain
- LangGraph
- Hands-on development experience
Strong differentiator
- Networking domain experience
- BGP / Routing / VPN understanding
- AI + Networking combination
Additional differentiator
- Vector search
- ML model training/deployment
- Production ML experience
- Model monitoring/drift
Key Customer Expectations
1. Strong hands-on AI/Agentic AI experience
- Hands-on experience with LangChain and LangGraph.
- Experience building AI agents and GenAI/LLM-based applications.
- Vector search experience is desirable.
- Preference should be given to candidates who have actually built and deployed solutions rather than candidates with only theoretical knowledge.
2. Engineering ownership and accountability
- Engineers will be expected to take ownership of the modules/use cases they develop.
- They should be able to independently understand the objective, clarify requirements where required and deliver the solution.
- Candidates should demonstrate accountability for the code they produce, including code generated using AI coding tools.
- Simply relying on AI-generated code without understanding or validating it will not meet the expectation.
3. Strong technical discipline
Candidates should demonstrate the ability to:
- Review their own architecture and implementation.
- Challenge and improve the proposed solution.
- Validate technical correctness before considering work complete.
- Iterate when the solution does not work as expected.
- Avoid creating technical debt through rapid AI-assisted development.
4. Networking knowledge is important
This is a key differentiator for the team.
We are not looking for CCNA-level certification as a mandatory requirement, but candidates should have a practical understanding of networking concepts relevant to the Crosswork domain, including:
- BGP fundamentals
- Routing
- VPN concepts
- Network/transport layers
- General networking architecture
Location- Navi Mumbai (Work from customer office)