Location: Hartford, CT (3 days/week from office).Must have: 4-8 years in software/data/ML engineering with 1-5 years hands-on GenAI experience along with Vertex AI and Google cloud platform and its services.Role summary Build test and deploy production GenAI solutions on Google Cloud for insurance clients document summarization intelligent intake underwriting and claims assistants and agentic workflows You turn architecture into working code and own features from prototype to production.
Required skills - Strong Python FastAPI or Flask async pytest
- Handson Gemini API Vertex AI SDK or Google Gen AI SDK
- RAG design and at least one vector store Vector Search AlloyDB pgvector BigQuery vector search
- LLM frameworks ADK LangChain or LangGraph
- GCP core Cloud Run Cloud Functions Cloud Storage BigQuery IAM Secret Manager
- REST API design Git Docker CICD
- Good written and verbal communication with onsite and client teams
Key responsibilities - Build GenAI applications with Gemini models on Gemini Enterprise Agent Platform Vertex AI
- Design and tune prompts structured outputs and function calling for insurance documents submissions ACORD forms COIs loss runs policies
- Build RAG pipelines chunking embeddings Vector Search Vertex AI Search grounding and citations
- Build agents with the Agent Development Kit ADK and deploy them on Agent Engine integrate tools and APIs
- Extract and classify documents with Document AI and Gemini multimodal input
- Ship services on Cloud Run or GKE exposed through Apigee with CICD in Cloud Build
- Move and store data with BigQuery Cloud Storage PubSub and Dataflow
- Write evaluation sets and run quality latency and cost checks Gen AI evaluation service golden datasets
- Apply guardrails PII masking with Sensitive Data Protection DLP safety filters IAM least privilege
- Work in Agile sprints with QA UI and data teams write clean tested documented code.
Nice to have Insurance domain PC ES specialty workers comp or financial services
Document AI custom extractors OCR on scanned or handwritten forms
Agent2Agent A2A protocol or Model Context Protocol MCP tool integration
Model tuning supervised finetuning on Gemini and model monitoring
Terraform Looker or Looker Studio dashboards.
Certifications (preferred) - Google Cloud Professional Machine Learning Engineer
- Google Cloud Associate Cloud Engineer or Professional Cloud Developer
- Google Cloud Generative AI Leader good to have.
The base compensation range for this role in the posted location is: $105,000 - $115,000
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.
