AI Developer - Python on Vertex AI & GCP

Capgemini; Atlanta, Northern (GA, KY); Hybrid; USD 69,000 - 162,000; Full time

Job summary

Capgemini is seeking an AI Developer specializing in Python and Google Vertex AI to design agentic AI solutions for enterprise workflows. You will architect and implement AI agents, connect them to BigQuery, Spanner, and AlloyDB, and orchestrate model training and deployment.

Responsibilities include building real-time data pipelines, optimizing model performance, and ensuring scalable, secure AI systems across Capgemini clients.

Qualifications

• Strong hands-on experience with Vertex AI (Model Garden, Pipelines, Endpoints).
• Advanced Python and SQL (BigQuery) for ML data engineering.
• Experience with large-scale data pipelines and production ML deployments.

Responsibilities

• Design and develop agentic AI systems using Vertex AI Agent Builder and MCP Toolbox; integrate with BigQuery and Spanner.
• Build scalable data pipelines (Dataflow) for real-time and batch workloads to support AI/ML workloads.
• Develop retrieval-augmented architectures with vector search in BigQuery and AlloyDB; ensure production readiness and security.

Skills

Python

Vertex AI

SQL

Tools

Vertex AI Pipelines

Vertex AI Endpoints

Vertex AI Agent Builder

BigQuery

Dataflow

AlloyDB

Cloud Spanner

Job description

Capgemini is seeking an AI Developer specializing in Python and Google Vertex AI to design agentic AI solutions for enterprise workflows. You will architect and implement AI agents, connect them to BigQuery, Spanner, and AlloyDB, and orchestrate model training and deployment.

Responsibilities include building real-time data pipelines, optimizing model performance, and ensuring scalable, secure AI systems across Capgemini clients.