Google Cloud AI Engineer

Experis is hiring a Senior AI Solutions Engineer to lead forward-deployed engagements delivering production-ready agentic AI in the insurance industry using Google Cloud. The role focuses on designing, building, scaling, and evaluating LLM applications with Vertex AI, Gemini, BigQuery, Agent Builder, Cloud Run, and related services.

Responsibilities

• 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 including Vertex AI, Gemini, BigQuery, Agent Builder, Cloud Run, and related services.
• Convert underwriting, claims, pricing, distribution, and servicing challenges into production-ready AI products that deliver measurable business outcomes.
• Apply strong LLM application design practices covering prompt engineering, agent orchestration, RAG architectures, evaluation frameworks, and AI governance.
• Prototype quickly and iterate to move from concept to working demonstrations within days, contributing reusable accelerators and best practices across engagements.

Requirements

• 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, including 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.

Technologies

• Google Cloud
• Vertex AI
• Gemini
• BigQuery
• Agent Builder
• Cloud Run
• Prompt engineering
• Agent orchestration
• RAG architectures
• Evaluation frameworks
• AI governance
• APIs

Location and Pay

• Location: Hartford, CT (onsite)
• Pay range: USD 70–75 per hourly

Benefits

• Deliver agentic AI solutions aimed at measurable impact across underwriting, claims, and customer-facing workflows.
• Work in a forward-deployed environment with close collaboration between business and technology stakeholders to drive outcomes.
• Build reusable accelerators and best practices to 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.