Senior AI Engineer - Vertex AI & Multi-Agent Systems

Capgemini; Irving (TX); Hybrid; USD 82,000 - 193,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive benefits package

Job summary

Capgemini seeks a senior AI/ML engineer with extensive experience in Vertex AI, BigQuery, and real-time data pipelines. The role focuses on building intelligent agents, secure data connections, and model deployment within a large enterprise cloud environment.

You will design and optimize multi-agent systems, implement MCP tooling, and ensure real-time inference capabilities while leveraging Google's ML ecosystem and enterprise databases.

Qualifications

• Senior candidate with 10+ years of related skills.
• Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
• Advanced SQL skills for BigQuery, Python for ML engineering, and data preprocessing techniques such as scaling, encoding, and imputation.
• Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
• Familiarity with stateful real-time processing and agentic architectures.

Responsibilities

• Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
• Use the Agent Developer Kit to build and manage multi-agent systems that solve end-to-end business challenges.
• Implement tools such as the Model Context Protocol (MCP) Toolbox to securely connect agents with enterprise databases, including BigQuery and Spanner.
• Use Vertex AI for model training, tuning, evaluation, and deployment.
• Integrate Vertex AI with BigQuery for feature engineering.
• Build and optimize streaming data pipelines using Dataflow.
• Execute real-time inference through the RunInference API or Vertex AI endpoints.
• Ground AI models in current business context using vector engines within BigQuery or AlloyDB.

Skills

Vertex AI

Python

SQL

BigQuery

ML engineering

Data preprocessing

Cloud storage

Streaming data

Vector engines

Agent architectures

Tools

BigQuery

Spanner

Vertex AI

Dataflow

RunInference API

AlloyDB

Job description

Capgemini seeks a senior AI/ML engineer with extensive experience in Vertex AI, BigQuery, and real-time data pipelines. The role focuses on building intelligent agents, secure data connections, and model deployment within a large enterprise cloud environment.

You will design and optimize multi-agent systems, implement MCP tooling, and ensure real-time inference capabilities while leveraging Google's ML ecosystem and enterprise databases.