7 days ago
Base Salary
$44k - $106k/yr
Responsibilities
- Design and develop intelligent AI agents with Vertex AI Agent Builder.
- Build, orchestrate, and manage multi-agent systems using the Agent Development Kit.
- Integrate Model Context Protocol Toolbox with enterprise data platforms including BigQuery and Cloud Spanner.
- Architect agentic solutions combining reasoning, retrieval, tool use, and workflow automation.
- Use Vertex AI for model training, fine-tuning, evaluation, optimization, and deployment.
- Build and optimize real-time and batch data pipelines with Dataflow for AI and machine learning workloads.
- Enable low-latency inference through Vertex AI Endpoints and RunInference APIs.
- Implement retrieval-augmented architectures using vector search in BigQuery and AlloyDB.
- Communicate project progress, risks, milestones, and technical blockers to technical and business stakeholders.
- Collaborate through technical discussions, planning, code reviews, troubleshooting, and knowledge sharing.
Requirements
- Strong hands-on experience with Vertex AI Model Garden, Vertex AI Pipelines, model evaluation and optimization, Vertex AI Endpoints, and Vertex AI Agent Builder.
- Advanced proficiency in SQL with BigQuery and Python for machine learning and data engineering.
- Experience with data preprocessing, feature engineering, scaling and normalization, encoding techniques, missing-value imputation, and model performance monitoring.
- Practical experience with Google Cloud Platform, Google Cloud Storage, BigQuery, Cloud Spanner, and Vertex AI Endpoints.
- Understanding of agentic AI architectures, multi-agent systems, stateful real-time processing, contextual memory, retrieval systems, and AI orchestration frameworks.
- Knowledge of generative AI and autonomous-agent trends.
- Preferred experience in Financial Services, banking, FinTech, or retail.
- Preferred knowledge of credit risk assessment, fraud detection, royalty forecasting, search relevance optimization, or customer intelligence platforms.
- Preferred knowledge of data privacy, governance, regulatory compliance, PII protection, data masking, data redaction, and secure data handling.
Benefits
- Paid time off, including 12–25 vacation 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 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
- The role is located in Atlanta, Chicago, Dallas, New Jersey, or Nashville.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.