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. 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