1 day ago
Base Salary
$130k - $140k/yr
Responsibilities
- Own end-to-end architecture for GenAI and agentic solutions on Google Cloud for insurance clients.
- Define reference architectures for RAG, document intelligence, and multi-agent systems on Vertex AI.
- Select models and design model-routing, fallback, tool, memory, and session strategies based on accuracy, latency, and cost.
- Design data foundations, enterprise integrations, security and compliance controls, LLMOps, evaluation, monitoring, and human-in-the-loop review processes.
- Lead Responsible AI reviews covering explainability, bias testing, and model risk documentation for insurance regulators.
- Estimate effort and cloud costs for proposals and statements of work, and build proof-of-concepts that support sales efforts.
- Present to client architecture boards and executives while mentoring GenAI leads and engineers across programs.
Requirements
- 12+ years of experience in IT, including 5+ years in cloud, data, or AI architecture and 2+ years designing production GenAI and Vertex AI solutions.
- Deep hands-on experience with Google Cloud, Vertex AI, Gemini APIs and platforms, agentic systems, and enterprise-scale production RAG.
- Proficiency in Python, solution prototyping, and reviewing engineers’ code.
- Experience with LLM evaluation, guardrails, context caching, batch prediction, model tiering, Terraform, and CI/CD for ML or GenAI.
- Strong experience with stakeholder management, solutioning, architecture documentation, ADRs, and HLD/LLD.
- Insurance or financial services experience is preferred, including underwriting, submissions intake, claims, COI, or E&S.
- Multi-cloud GenAI experience with Azure OpenAI or AWS Bedrock is preferred.
- Experience with Gemini Enterprise rollout, model tuning, distillation, or the Looker semantic layer is preferred.
- Google Cloud Professional Cloud Architect certification is required or must be obtained within 3 months; Google Cloud Professional Machine Learning Engineer and Google Cloud Generative AI Leader certifications are preferred.
Benefits
- Comprehensive benefits package for regular, full-time employees, including paid time off, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, retirement savings plans such as 401(k) or RRSP, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.
- Hartford, Connecticut location with 3 days per week in the office.
Tech Stack
Categories
Solutions Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.