GenAI Lead / GCP AI Engineer Lead

Capgemini; Hartford (CT); Presencial; USD 105.000 - 115.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Other benefits as per local policy

Descripción de la vacante

Capgemini is seeking a GenAI Lead / GCP AI Engineer Lead in Hartford, CT to build, test, and deploy GenAI solutions for insurance clients. You will own features from prototype to production and translate architecture into production-ready code.

You will design prompts, implement RAG pipelines, and integrate tools and APIs using Gemini Enterprise Agent Platform, Vertex AI, and Cloud services while working in Agile sprints with QA and data teams.

Formación

• Strong Python development experience with modern web frameworks (FastAPI or Flask).
• Hands-on experience with Gemini API, Vertex AI SDK, or Google Gen AI SDK.
• Experience with RAG design, vector stores and grounding for enterprise data.

Responsabilidades

• Build GenAI applications on Gemini Enterprise Agent Platform (Vertex AI).
• Design prompts, outputs, and function calling for insurance docs.

Conocimientos

Python

Gemini API

LangChain

GCP

REST APIs

Docker

CI/CD

Git

Herramientas

Gemini API/Vertex AI SDK

Vector Store

BigQuery

Cloud Run/GKE

Descripción del empleo

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 bya 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 organizationsunlock 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 attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Ref. code: 590201

Posted on: Nov 2, 2026

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, NY, US

Brand: Capgemini

Professional Community: Data & AI

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.