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# Google Cloud AI Engineer

- **Company:** Experis
- **Location:** Hartford, CT, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Software Engineering, Systems Integration, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Agentic-AI, Data Management, Google Gemini
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ec3e2e9e8a0a96bf

## About the Role

* 5-10 years of experience in solution engineering, AI engineering, forward-deployed engineering, consulting, or enterprise application development, preferably in client-facing roles.
 * Hands-on experience building GenAI and Agentic AI solutions on Google Cloud (Vertex AI, Gemini, BigQuery, Agent Builder, Cloud Run, and related services).
 * Strong understanding of LLM application design, prompt engineering, agent orchestration, RAG architectures, evaluation frameworks, and AI governance.
 * Experience designing and integrating enterprise applications, APIs, data platforms, and workflow solutions.
 * Insurance domain expertise in Property & Casualty, Life, Reinsurance, or Specialty Insurance operations, including familiarity with underwriting, claims, pricing, actuarial, policy administration, customer servicing, or distribution/broker operations.

## Description

* Design, build, and scale GenAI and Agentic AI solutions using Google Cloud technologies such as Vertex AI, Gemini, BigQuery, Agent Builder, Cloud Run, and related services.
 * Translate underwriting, claims, pricing, distribution, and servicing challenges into production-ready AI products that drive measurable business outcomes.
 * Apply strong LLM application design practices including prompt engineering, agent orchestration, RAG architectures, evaluation frameworks, and AI governance.
 * Prototype rapidly and iterate quickly-moving from concept to working demonstrations within days-while contributing reusable accelerators and best practices across engagements., * Opportunity to deliver agentic AI solutions that create measurable impact across underwriting, claims, and customer-facing workflows.
 * Work in a forward-deployed environment where you can collaborate closely with business and technology stakeholders to drive outcomes.
 * Build reusable accelerators and best practices that strengthen delivery across multiple engagements.
 * Use modern Google Cloud AI capabilities to design, prototype, and deploy production-ready solutions.
 * Join a team that values experimentation, rapid iteration, and clear communication with executives and technical teams.