About the Role
Promoted to lead a transversal AI Architecture and Innovation team designed to drive impact from team level to company wide. The role covers translating business needs into architectural decisions and setting the technical direction for agentic and enterprise AI systems at scale.
Key Responsibilities
- Define AI architecture standards and best practices across all engineering levels
- Deploy production agentic systems implementing industry standard protocols including MCP, A2A, and AGUI
- Integrate Gemini Enterprise, Slack, and Microsoft Teams as enterprise agent surfaces
- Reduce AI OPEX through model routing, caching, governance and detecting cost cutting opportunities
- Build an enablement framework for company wide contribution to the AI ecosystem
Technical Stack
Python, Terraform, Kubernetes, GCP, A2A, MCP, AGUI, Gemini Enterprise, LangGraph, ADK, LiteLLM, FastAPI, Vertex AI, Pydantic, ArgoCD, Helm, Docker, GitHub Actions.