The person would be working at the intersection of cloud infrastructure and AI/LLM engineering — specifically:
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Designing and deploying AI agents using Google’s Gemini models
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Using GCP’s Vertex AI as the primary ML platform (model hosting, pipelines, endpoints)
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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
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Likely involved in things like tool-calling, multi-agent orchestration, RAG pipelines, and connecting agents to enterprise systems
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Role Responsibilities
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Architecting and implementing infrastructure as code (IaC).
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Defining administrative choices for environments that are auto-configured by IaC.
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Focus on agent use cases, including relationships with BigQuery databases, enterprise connectors, and agent orchestration.
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Heavy leverage of Vertex.
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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.
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Experience with IaC technologies like Kubernetes, Terraform, and CI/CD.
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Enterprise environment experience is crucial to navigate existing GCP and ISRM teams and strictures.
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Preferred transferable skills (due to rarity of specific Google ADK experience):
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Mature experience in AWS or Azure.
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Experience with Bedrock or Azure Agent Foundry.
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GCP experience combined with LangGraph or LangChain.
