AI Architect/ Tech Lead

Design and implement multiagent orchestration frameworks for autonomous negotiation, task delegation, and state management.

Architect and develop scalable Model Context Protocol (MCP) servers and clients for secure LLM integration with data sources and enterprise tools.

Define the architectural vision for Zensar's internal AI platform, ensuring high throughput, low latency, and seamless developer workflows.

Write productionready code, build prototypes, and establish engineering best practices for AI application development.

Standardize architectural patterns across the organization and author comprehensive RFCs.

Mentor junior engineers and foster a culture of technical excellence.

Collaborate with product, security, and operations teams to align AI solutions with business goals.

Evaluate and integrate emerging AI SDKs, vector databases, and RAG pipelines.

Drive performance tuning, scalability testing, and reliability engineering for AI services.

Communicate complex technical concepts clearly to both technical and nontechnical stakeholders

10+ years of software architecture experience, with at least 3 years building productiongrade LLM applications.

Deep expertise in multiagent frameworks such as LangGraph, AutoGen, or CrewAI.

Proven experience designing or implementing Model Context Protocol (MCP) or similar contextsharing protocols.

Strong command of Python, TypeScript, or Go and cloudnative technologies (AWS/GCP/Azure, Kubernetes, Docker).

Handson experience with prompt engineering, RetrievalAugmented Generation (RAG) pipelines, and vector databases.

Demonstrated ability to produce highquality, productionready 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.

Bachelors or higher degree in Computer Science, Engineering, or a related field.