Location: Hartford, CT (3 days/week from office).About the Role Forward Deployed Engineer specializing in AI solution delivery for the insurance industry, responsible for leading engagements from discovery through production deployment. Combines strong insurance domain expertise with deep experience in Google Cloud's AI ecosystem to rapidly design, build, and scale agentic AI solutions that drive measurable business outcomes. Works directly with business and technology stakeholders to translate complex underwriting, claims, pricing, distribution, and servicing challenges into production-ready AI products while contributing reusable accelerators and best practices across engagements.
Required - 5+ years of experience with 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 using Google Cloud technologies such as 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.
- Strong business consulting and communication skills with the ability to interact directly with executives, business SMEs, and technical teams.
- Proven ability to rapidly prototype and iterate solutions, moving from concept to working demonstration within days.
- Comfortable operating in ambiguous environments with a strong bias toward action, experimentation, and outcome delivery.
Insurance Domain Expertise - Strong understanding of Property & Casualty, Life, Reinsurance, or Specialty Insurance operations.
- Experience supporting business 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 drive measurable business outcomes including loss ratio improvement, underwriting efficiency, claims productivity, customer retention, and agent effectiveness.
Preferred - Google Cloud Professional certifications (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.
The base compensation range for this role in the posted location is: $85,000 - $95,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
