About this role
Zensar Technologies Limited is seeking an experienced AI Architect to shape the future of our internal AI development platform. You will drive architectural vision, build scalable Model Context Protocol (MCP) services, and create robust multi‑agent frameworks that enable autonomous negotiation and secure inter‑agent communication. The role blends strategic leadership with hands‑on engineering, requiring deep expertise in large language models, agentic systems, and cloud‑native AI infrastructure.
- 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.