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 implementinginfrastructure as code (IaC).

  1. Defining administrative choices for environments that are auto-configured by IaC.

  2. Focus onagent use cases, including relationships with BigQuery databases, enterprise connectors, and agent orchestration.

  3. Heavy leverage ofVertex.

  4. Investigating and tweaking designs to avoid issues with Pfizer’s enterprise infrastructure and GCP limitations.

• Required Skills and Experience

• Strong background inGCP andVertex.

  1. Experience withIaC technologies like Kubernetes, Terraform, and CI/CD.

  2. Enterprise environment experience is crucial to navigate existing GCP and ISRM teams and strictures.

  3. Preferred transferable skills (due to rarity of specific Google ADK experience):

     • Mature experience inAWS orAzure.

     • Experience withBedrock orAzure Agent Foundry.

     • GCP experience combined withLangGraph orLangChain.