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# AI Solutions Engineer (Insurance)

- **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, Data Management, Google Gemini
- **Published:** October 16, 2026
- **Apply:** https://www.experis.com/en/job/414950/google-cloud-ai-engineer

## About the Role

Our client is seeking a Senior AI Solutions Engineer (Insurance) to join their team. As a Senior AI Solutions Engineer (Insurance), you will be part of the Forward Deployment Engineering organization supporting AI solution delivery for the insurance industry. The ideal candidate will have a strong bias toward action, the ability to translate complex business challenges into production-ready AI products, and the communication skills to partner effectively with business and technology stakeholders., + 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.
What's Needed?