The person would be working at the intersection of cloud infrastructure and AI/LLM engineering — specifically:

Designing and deploying AI agents using Google’s Gemini models
Using GCP’s Vertex AI as the primary ML platform (model hosting, pipelines, endpoints)
Building with Google’s agent tooling — the Agent Development Kit (ADK) for constructing agent logic, and the Managed Agents API for running/orchestrating them at scale
Likely involved in things like tool-calling, multi-agent orchestration, RAG pipelines, and connecting agents to enterprise systems


Role Responsibilities
Architecting and implementing infrastructure as code (IaC) .

Defining administrative choices for environments that are auto-configured by IaC.
Focus on agent use cases , including relationships with BigQuery databases, enterprise connectors, and agent orchestration.
Heavy leverage of Vertex .
Investigating and tweaking designs to avoid issues with Pfizer’s ent...