GenAI & GCP AI Lead for Insurance Solutions

Capgemini; New York (NY); On-site; USD 105,000 - 115,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision

401(k) retirement plan

Life and disability insurance

Employee assistance programs

Job summary

Capgemini in Hartford, CT seeks a GenAI Lead / GCP AI Engineer Lead to build, test and deploy production GenAI solutions on Google Cloud for insurance clients, including document summarization, intelligent intake, underwriting and claims assistants, and agentic workflows. You will design prompts, build RAG pipelines, and deploy agents via the ADK on the Agent Engine, integrating tools and APIs.

Experience with Document AI, vector stores, and CI/CD is required.

Qualifications

• 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.
• 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.

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.
• Build RAG pipelines: chunking, embeddings, Vector Search, grounding and citations.
• Develop agents with the ADK and deploy 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.

Skills

Python

FastAPI / Flask

async

pytest

Gemini API

Vertex AI SDK

RAG design

vector store

LangChain

LangGraph

ADK

Vertex AI

REST API design

Git

Docker

CI/CD

communication

Tools

Gemini API

Vertex AI SDK

LangChain

LangGraph

ADK

Docker

Git

REST APIs

Cloud Run

GKE

BigQuery vector search

AlloyDB pgvector

Terraform

Job description

Capgemini in Hartford, CT seeks a GenAI Lead / GCP AI Engineer Lead to build, test and deploy production GenAI solutions on Google Cloud for insurance clients, including document summarization, intelligent intake, underwriting and claims assistants, and agentic workflows. You will design prompts, build RAG pipelines, and deploy agents via the ADK on the Agent Engine, integrating tools and APIs.

Experience with Document AI, vector stores, and CI/CD is required.