Principal AI Solutions Architect–Google Cloud / Agentic AI
Job Description
Role: Principal AI Solutions Architect & CoE Capability Lead – Google Cloud / Agentic AI
Experience: 15+ years, including 3+ years in GenAI and multi-agent AI
Mandatory: Active Google Cloud Professional Certification and hands-on technical training leadership.
Contract
Seeking a senior AI architect to lead enterprise Agentic AI solutions, build reusable AI assets, and drive AI upskilling across 350+ engineering professionals. The role combines hands-on multi-agent architecture, CoE leadership, classroom training, coding labs, workshops, and hackathons.
Key Skills:
- Agentic AI, GenAI, LLMs, multi-agent orchestration
- Google ADK, Vertex AI Agent Engine, LangGraph, CrewAI, AutoGen
- MCP, A2A protocols, Python, TypeScript/Go, REST/gRPC
- Advanced RAG, Vector Search, Enterprise Knowledge Graphs
- BigQuery, AlloyDB, Spanner
- LLM evaluation, EvalOps, Model Armor, DLP, AI security
- AI CoE, reusable frameworks, architecture leadership
- Hands-on classroom training, coding labs, workshops, and hackathons for 100–350+ engineers
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