GenAI & GCP AI Lead — Build Production AI Solutions

Capgemini; Hartford (CT); On-site; USD 105,000 - 115,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Other benefits as per local policy

Job summary

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.

Qualifications

• 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.

Responsibilities

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

Skills

Python

Gemini API

LangChain

GCP

REST APIs

Docker

CI/CD

Git

Tools

Gemini API/Vertex AI SDK

Vector Store

BigQuery

Cloud Run/GKE

Job description

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.