Agentic AI Engineer
About The Position
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. This role is an experienced professional with a strong background in software development. The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates.
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 (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
