Forward Deployed Engineer

Capgemini; Hartford (CT); Híbrido; USD 85.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PTO and holidays

Health, dental, vision coverage

Retirement savings plans (401(k) / RR‑

Life and disability insurance

Employee assistance programs

Other benefits as policy allows

Descripción de la vacante

Capgemini is seeking a Forward Deployed Engineer specializing in AI delivery for the insurance industry. You will lead engagements from discovery to production, translating underwriting and claims challenges into production-ready AI products using Google Cloud technologies.

This role emphasizes rapid prototyping, executive-facing collaboration, and reusable accelerators. Location in Hartford, CT (3 days per week from office).

Formación

• 5+ years in solution engineering, AI engineering, forward-deployed engineering, consulting, or enterprise app development in client-facing roles.
• Hands-on GenAI and Agentic AI solutions using Google Cloud technologies (Vertex AI, Gemini, BigQuery, etc.).
• Strong LLM design, prompt engineering, agent orchestration, RAG, evaluation, and AI governance.
• Experience designing and integrating enterprise apps, APIs, data platforms, and workflows.
• Excellent business consulting and communication skills with execs and SMEs.
• Proven rapid prototyping and iteration from concept to working demos in days.
• Comfortable in ambiguous environments with action- and outcome-bias.

Responsabilidades

• Lead engagements from discovery through production deployment.
• Translate underwriting, claims, pricing, distribution, and servicing challenges into AI products.
• Contribute reusable accelerators and best practices across engagements.
• Collaborate with stakeholders to deliver measurable business outcomes.
• Drive rapid prototyping and demonstrations to stakeholders.

Conocimientos

GenAI design

Lead client engagements

Consulting and communication

Solution engineering

Prototype and iterate

Ambiguity handling

Herramientas

Vertex AI

Gemini

BigQuery

Agent Builder

Cloud Run

Descripción del empleo

Forward Deployed Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

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.

• 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.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.