Agentic AI Engineer

Capgemini • New York, NY

25d • $76,730 - $150,800 • Hybrid

About The Position

Capgemini is hiring an experienced software development professional to build and manage AI agents and AI/ML solutions. The role focuses on agentic systems, enterprise data integration, data pipelines, and retrieval-augmented generation (RAG) and vector search implementations. This is a hybrid position based out of Chicago, Atlanta, Nashville, Dallas, or New Jersey. The compensation range is $76,730 to $150,800, with possible additional variable incentives, bonuses, or commissions depending on the position and applicable laws. The role may be eligible for Capgemini's benefits package for regular, full-time employees, subject to local policy and eligibility.

Requirements

• 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.
• Experienced professional with a strong background in software development.

Nice To Haves

• Experience in Financial Services or Retail domains.
• Familiarity with credit risk, forecasting, search/recommendation systems, and AI governance.
• Knowledge of PII protection, data masking, and compliance standards.

Responsibilities

• Build intelligent AI agents using Vertex AI Agent Builder and ADK to automate business processes.
• Develop and manage multi-agent systems for end-to-end problem solving.
• Integrate AI agents with enterprise data sources, including 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.

Benefits

• Paid time off, including vacation (12–25 days depending on employee grade), company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed