CGP / Gemini Enterprise Engineer
Core
Build and deploy production GenAI agentic solutions, RAG pipelines, and model integrations on Google Cloud for higher education and SLED clients.
Role type
Senior IC GenAI/Agentic Solutions Engineer
Builds
Agentic assistants, RAG pipelines, and model integrations on the Gemini Enterprise Agent Platform
Domain
Generative AI / Google Cloud Platform / Higher Education & SLED
Deliverable
production ML models
Required skills
GenAI/agentic AI solution development, RAG pipeline implementation, model selection and tuning, prompt engineering, Agent2Agent (A2A) protocol, cloud data and compute services, software engineering (Python), evaluation harnesses and regression testing
Preferred skills
Google Cloud certification (Professional Machine Learning Engineer or Professional Cloud Architect), direct experience with Gemini Enterprise Agent Platform or Vertex AI, experience with AWS Bedrock/Azure AI Foundry/OpenAI/Anthropic APIs
Technologies
Gemini Enterprise Agent Platform, Agent Builder, Workspace Studio, Model Garden, BigQuery, Snowflake, Cloud Run, GKE, Python
Responsibilities
Design, build, and deploy agentic assistants and GenAI applications; implement RAG pipelines and grounding; integrate Agent2Agent protocols; evaluate and select foundation models; fine-tune or prompt-engineer models; build live API and tool-calling integrations; maintain technical documentation; execute against delivery backlog; conduct code and configuration reviews; serve as quality gate for release readiness
Seniority
Senior, hands-on IC
