Gen AI Architect

Virtusa · Colombo

New

Senior 🇬🇧 English

LangGraph CrewAI AutoGen ReAct MCP FastAPI AsyncIO Node.js TypeScript React Next.js Tailwind PostgreSQL Redis Neo4j Pinecone Weaviate Qdrant Pgvector LangSmith Phoenix OpenTelemetry NeMo Instructor Docker Kubernetes GitHub Actions AWS GCP Azure

Job description

About the role

An experienced Gen AI Architect is sought to build and scale production-grade autonomous software systems that combine agentic AI, enterprise architecture, asynchronous backends and real-time frontends.

Key responsibilities

Design multi-agent workflows using ReAct, Plan-and-Execute, Reflexion, MCP, LangGraph, CrewAI and AutoGen.
Implement short- and long-term memory, hybrid RAG, vector databases and graph databases such as Neo4j.
Build asynchronous backends with Python, FastAPI, AsyncIO or Node.js/TypeScript, and real-time React/Next.js frontends with WebSockets, SSE and human-in-the-loop approvals.
Manage sessions, memory and traces with PostgreSQL, Redis, Pinecone, Weaviate, Qdrant and Pgvector.
Set up observability with LangSmith, Phoenix and OpenTelemetry, and apply NeMo and Instructor for guardrails and tool reliability.
Deploy with Docker, Kubernetes, CI/CD, GitHub Actions and cloud platforms such as AWS, GCP or Azure, using AI coding assistants like Cursor and Copilot.

Required profile

Minimum 8 years of overall experience, with 2-3 years of hands-on work building and deploying production-grade LLM and agentic AI applications.
Strong understanding of asynchronous runtimes, system design and agent failure modes such as infinite loops, context loss and hallucinations.
B.S./M.S. in Computer Science, Artificial Intelligence or equivalent practical experience.

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Virtusa

Colombo

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