What are the responsibilities and job description for the AI Architect position at Virtusa?
We are seeking a Senior AI Architect / Lead AI Engineer (10–15 years) with 3 years of hands-on Generative AI experience to design and deliver enterprise-grade AI solutions using Google Gemini, Vertex AI, and multi-agent architectures.
Key Skills:- Generative AI, LLMs, RAG, Agentic AI
- Google AI Ecosystem: Gemini, Vertex AI, Google AI Studio, Google ADK
- LangChain, LangGraph, LlamaIndex, Semantic Kernel
- Multi-Agent Systems & Enterprise RAG Architectures
- Vertex AI Vector Search, ChromaDB
- Python (FastAPI), Node.js, REST APIs
- Google Workspace Integrations (Docs, Sheets, Drive, Gmail, Meet)
- BigQuery, Lakehouse, GCP Cloud-Native Development
- React/Angular, Material UI, OAuth2
- API Management: Apigee, MuleSoft
- LLM Evaluation: RAGAS, DeepEval, LangSmith
- GitHub/GitLab, SonarQube, pytest
✔ 10–15 years of software engineering experience
✔ 3 years in Generative AI, LLMs, RAG, and multi-agent systems
✔ Strong Python and GCP expertise
- ✔ Experience building scalable AI applications and agentic workflows