About the role
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.
Requirements
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.
Originally posted on Himalayas