Google Cloud AI Engineer

Experis
Hartford, CT, United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$145,600.0 - $156,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+2 more
Data Management Google Gemini

Job 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.

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 (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.

About the company

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (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 ManpowerGroup 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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