Agentic AI Engineer

Capgemini • Nashville, TN

11h • Hybrid

About The Position

The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.

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.

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 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 .

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

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