Senior Cloud Platform Engineer

Role Overview

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

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 enterprise infrastructure and GCP limitations