Forward Deployed Engineer

# Forward Deployed Engineer New York Apply for this job
* Permanent* Experienced Professionals
* Data & AI
* -en _USChoosing 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 by a 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 organizations unlock 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, Big Query, 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…