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About the Role
Collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. Contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment.
Responsibilities
- Build and deploy intelligent agents using Vertex AI Agent Builder and ADK.
- Develop multi-agent solutions and integrate them with enterprise systems using MCP Toolbox.
- Design and optimize AI/ML solutions using Vertex AI, BigQuery, and Dataflow.
- Build real-time inference and data pipelines on GCP.
- Implement vector search and grounding solutions using BigQuery and AlloyDB.
- Collaborate with stakeholders to translate business requirements into scalable AI architectures.
Requirements
- Strong hands-on experience with Vertex AI, including Agent Builder, Model Garden, Vertex AI Pipelines, and Model Evaluation.
- Expertise in Python for AI/ML engineering and automation.
- Advanced SQL skills with hands-on experience in BigQuery.
- Experience with data preprocessing, feature engineering, and model deployment.
- Strong knowledge of Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Cloud Storage, Vertex AI, and Cloud Spanner.
- Experience with real-time data processing and streaming architectures.
- Knowledge of Agentic AI frameworks, multi-agent systems, and AI orchestration patterns.
- Strong analytical, problem-solving, and communication skills.
- Experience in Financial Services, Banking, Retail, or eCommerce domains.
- Knowledge of PII handling, data masking, redaction, privacy, and compliance standards.
- Experience with Vector Databases, RAG (Retrieval-Augmented Generation), and Context-Aware AI Systems.
- Familiarity with MLOps, CI/CD, and cloud-native deployment practices.
Skills
- AI Engineer
- Agentic AI
- Vertex AI
- Google Cloud Platform (GCP)
- Python
- BigQuery
- Dataflow
- Vector Databases
- RAG
- MLOps
- CI/CD
Location
- Atlanta
Work Type
- Hybrid
Experience Level
- AI Engineer
Salary/Compensations
- $82,082 to 193,440
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
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.