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Google Cloud AI Engineer

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: Experis Technology Group
Full Time position
Listed on 2026-10-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 70 - 75 USD Hourly USD 70.00 75.00 HOUR
Job Description & How to Apply Below

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.

Job Title:

Senior AI Solutions Engineer (Insurance)

Location:

Hartford, CTPay Range: $70 - $75/hr What's the Job?

Lead forward-deployed engagements from discovery through production deployment for agentic AI solutions in the insurance industry. Design, build, and scale GenAI and Agentic AI solutions using Google Cloud technologies such as Vertex AI, Gemini, Big Query, 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?
  • 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, Big Query, 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.
What's in it for me?

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.

About Manpower Group, Parent Company of:
Manpower, Experis, Talent Solutions, and Jefferson Wells. Manpower Group® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills.

Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 Manpower Group was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

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