About this role
Zensar Technologies Limited seeks an experienced AI Architect to define and execute the architectural vision for its internal AI platform. You will create production‑grade multi‑agent frameworks, secure Model Context Protocol services, and robust RAG pipelines, while establishing engineering standards and mentoring teams to drive high‑throughput, low‑latency AI applications across the enterprise.
- 10+ years of software architecture experience, with at least 3 years building production‑grade LLM applications.
- Deep expertise in multi‑agent frameworks such as LangGraph, AutoGen, or CrewAI.
- Proven experience designing or implementing Model Context Protocol (MCP) or similar context‑sharing protocols.
- Strong command of Python, TypeScript, or Go and cloud‑native technologies (AWS/GCP/Azure, Kubernetes, Docker).
- Hands‑on experience with prompt engineering, Retrieval‑Augmented Generation (RAG) pipelines, and vector databases.
- Demonstrated ability to produce high‑quality, production‑ready code and prototypes.
- Outstanding verbal and written communication skills, with a track record of leading technical discussions.
- Experience authoring architecture RFCs and establishing engineering standards.
- Ability to translate complex AI concepts into actionable solutions for business stakeholders.
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.