Vertex AI Agent Engineer — Build Smart AI Agents

Capgemini; New York (NY); Hybrid; USD 77,000 - 151,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans (401(k))

Job summary

Capgemini is seeking an experienced AI/ML engineer in a hybrid US role to design and deploy multi-agent systems on Google Cloud Platform. You will build intelligent AI agents, integrate them with enterprise data sources, and optimize models using Vertex AI tools.

The role emphasizes data preprocessing, BigQuery, and real-time processing with a blend of real-world domain knowledge in Financial Services or Retail, plus governance and privacy considerations.

Qualifications

• Strong experience with Vertex AI, Agent Builder, Model Garden, and Vertex AI Pipelines.
• Proficiency in Python, SQL (BigQuery), and data preprocessing techniques.
• Hands-on experience with GCP, including BigQuery, Cloud Storage, Vertex AI Endpoints, and Cloud Spanner.
• Knowledge of multi-agent systems, agentic architectures, and real-time processing.

Responsibilities

• Build intelligent AI agents using Vertex AI Agent Builder and MCP Toolbox to automate business processes.
• Develop and manage multi-agent systems for end-to-end problem solving.
• Integrate AI agents with enterprise data sources such as BigQuery and Cloud Spanner using MCP Toolbox.
• Design and optimize AI/ML solutions on Vertex AI, including model training, tuning, deployment, and evaluation.
• Build real-time and batch data pipelines using Dataflow and Vertex AI Endpoints.
• Implement RAG and vector search solutions using BigQuery Vector Search or AlloyDB.

Skills

Vertex AI

Agent Builder

Model Garden

Vertex AI Pipelines

Python

BigQuery

GCP

Cloud Spanner

Dataflow

Multi-agent systems

Tools

MCP Toolbox

GCP Console

Job description

Capgemini is seeking an experienced AI/ML engineer in a hybrid US role to design and deploy multi-agent systems on Google Cloud Platform. You will build intelligent AI agents, integrate them with enterprise data sources, and optimize models using Vertex AI tools.

The role emphasizes data preprocessing, BigQuery, and real-time processing with a blend of real-world domain knowledge in Financial Services or Retail, plus governance and privacy considerations.