GenAI Lead / GCP AI Engineer Lead

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 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. Job Description GenAI Lead / GCP AI Engineer Lead Location: Hartford, CT 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. 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 CI/CD in Cloud Build. Move and store data with BigQuery, Cloud Storage, Pub/Sub 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. Required skills Strong Python (FastAPI or Flask, async, pytest). Hands-on 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, CI/CD. Good written and verbal communication with onsite and client teams. Nice to have Insurance domain (P&C, E&S, 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 fine-tuning 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. 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 attemp