Location: Hartford, CT (3 days/week from office).Must have 12+ years in IT, 5+ in cloud/data/AI architecture, 2+ designing production GenAI and Vertex AI.Role summary Own the end-to-end architecture of GenAI and agentic solutions on Google Cloud for insurance clients. You shape solutions in pre-sales, set the technical direction for delivery teams, and make sure what ships is secure, governed, scalable and cost-efficient.
Required skills - Deep, hands-on GCP: Gemini Enterprise Agent Platform (Vertex AI), Gemini API, Agent Builder, Cloud Run, GKE, BigQuery, Apigee, IAM and networking.
- Proven production RAG and agentic systems at enterprise scale.
- Python and solution prototyping; comfortable reviewing engineers' code.
- LLM evaluation, guardrails and cost optimization (context caching, batch prediction, model tiering).
- Infrastructure as code (Terraform) and CI/CD for ML/GenAI.
- Strong stakeholder management, solutioning and documentation (ADRs, HLD/LLD).
Key responsibilities - Define reference architectures for RAG, document intelligence and multi-agent systems on Gemini Enterprise Agent Platform (Vertex AI).
- Choose models (Gemini family, Model Garden, open models) based on accuracy, latency and cost; set model-routing and fallback patterns.
- Design agent architectures with ADK, Agent Engine, A2A and MCP; define tool, memory and session strategy.
- Design the data foundation: BigQuery, Cloud Storage, AlloyDB, Vector Search / Vertex AI Search, Document AI, Dataflow and Pub/Sub.
- Set integration patterns with policy admin, claims and underwriting systems (for example Guidewire, Duck Creek) through Apigee and event-driven APIs.
- Own security and compliance: VPC Service Controls, CMEK, IAM, Sensitive Data Protection, audit logging, data residency.
- Set up LLMOps: evaluation frameworks, prompt and model versioning, monitoring, drift and hallucination tracking, human-in-the-loop review.
- Lead Responsible AI reviews: explainability, bias testing, model risk documentation for insurance regulators.
- Estimate effort and cloud cost (tokens, compute, storage) for proposals and SOWs; build POCs that win deals.
- Present to client architecture boards and CXOs; mentor GenAI leads and engineers across programs.
Nice to have - Insurance or financial services domain: underwriting, submissions intake, claims, COI, E&S.
- Multi-cloud GenAI exposure (Azure OpenAI, AWS Bedrock) for comparative solutioning.
- Gemini Enterprise (formerly Agentspace) rollout for employee-facing agents.
- Model tuning and distillation; Looker semantic layer for analytics agents.
Certifications (preferred) - Google Cloud Professional Cloud Architect (required or within 3 months)
- Google Cloud Professional Machine Learning Engineer
- Google Cloud Generative AI Leader.
The base compensation range for this role in the posted location is: $130,000 - $140,000
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
