Forward Deployed Engineer
About The Position
Capgemini is seeking a Forward Deployed Engineer specializing in AI solution delivery for the insurance industry. The role leads client engagements from discovery through production deployment, combining insurance domain expertise with experience in Google Cloud’s AI ecosystem to design, build, and scale agentic AI solutions that deliver measurable business outcomes. The engineer works directly with business and technology stakeholders to turn challenges in underwriting, claims, pricing, distribution, and servicing into production-ready AI products, while contributing reusable accelerators and best practices across engagements. The position is based in Hartford, Connecticut, with work from the office three days per week. Capgemini describes itself as a global business and technology transformation partner with 340,000 team members in more than 50 countries.
Requirements
- At least 5 years of experience in solution engineering, AI engineering, forward-deployed engineering, consulting, or enterprise application development; client-facing experience is preferred.
- Hands-on experience building generative AI and agentic AI solutions using Google Cloud technologies such as Vertex AI, Gemini, BigQuery, Agent Builder, and Cloud Run.
- 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.
- Strong business consulting and communication skills, including the ability to work directly with executives, business SMEs, and technical teams.
- Ability to rapidly prototype and iterate solutions, moving from concept to working demonstration within days.
- Comfort operating in ambiguous environments with a bias toward action, experimentation, and outcome delivery.
- Strong understanding of Property & Casualty, Life, Reinsurance, or Specialty Insurance operations.
- Experience supporting insurance functions such as underwriting, claims, pricing, actuarial, policy administration, customer servicing, distribution, or broker operations.
- Familiarity with insurance data models, regulatory considerations, document-heavy workflows, and operational processes.
- Ability to identify AI opportunities that deliver measurable outcomes such as loss ratio improvement, underwriting efficiency, claims productivity, customer retention, and agent effectiveness.
Nice To Haves
- Google Cloud Professional certifications in Generative AI, Machine Learning Engineer, Cloud Architect, or Data Engineer.
- Experience with insurance platforms such as Guidewire, Duck Creek, Majesco, Sapiens, or similar ecosystems.
- Exposure to regulated-industry governance, model risk management, auditability, explainability, and AI compliance requirements.
- Experience developing reusable frameworks, accelerators, and enterprise-scale AI delivery methodologies.
Responsibilities
- Lead AI solution delivery engagements from discovery through production deployment.
- Design, build, and scale agentic AI solutions using Google Cloud technologies.
- Work directly with business and technology stakeholders to translate insurance challenges into production-ready AI products.
- Rapidly prototype and iterate solutions, moving from concept to working demonstration within days.
- Identify AI opportunities that can improve measurable insurance business outcomes.
- Contribute reusable frameworks, accelerators, and best practices across engagements.
Benefits
- Paid time off based on employee grade: 12–25 vacation days, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
- Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
- The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
