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Senior Cloud Platform Engineer

Roles & Responsibilities

  • Experience with Google Cloud Platform and Vertex AI
  • Knowledge of AI agent development and orchestration
  • Proficiency in infrastructure as code (IaC)
  • Familiarity with BigQuery and enterprise systems

Requirements:

  • Designing and deploying AI agents using Google’s Gemini models
  • Implementing infrastructure as code (IaC)
  • Managing agent use cases and orchestration
  • Investigating designs to align with enterprise infrastructure requirements

Job description

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).

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

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

    3. Heavy leverage of Vertex.

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

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