Senior Cloud Platform Engineer

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 enterprise infrastructure and GCP limitations.
• Required Skills and Experience
• Strong background in GCP and Vertex.
• Experience with IaC technologies like Kubernetes, Terraform, and CI/CD.
• Enterprise environment experience is crucial to navigate existing GCP and ISRM teams and strictures.
• Preferred transferable skills (due to rarity of specific Google ADK experience):
• Mature experience in AWS or Azure.
• Experience with Bedrock or Azure Agent Foundry.
• GCP experience combined with LangGraph or LangChain.