2 days ago
Base Salary
$69k - $162k/yr
Responsibilities
- Design and develop intelligent AI agents with Vertex AI Agent Builder.
- Use the Agent Development Kit to build and orchestrate multi-agent systems.
- Implement Model Context Protocol Toolbox integrations with BigQuery and Cloud Spanner.
- Architect scalable agentic solutions combining reasoning, retrieval, tool use, and workflow automation.
- Train, fine-tune, evaluate, optimize, and deploy models with Vertex AI.
- Build and optimize real-time and batch data pipelines with Dataflow.
- Enable low-latency inference through Vertex AI Endpoints and RunInference APIs.
- Implement retrieval-augmented architectures using vector search in BigQuery and AlloyDB.
- Perform data preprocessing, feature engineering, scaling, normalization, encoding, missing-value imputation, and model performance monitoring.
- Translate business objectives into scalable, maintainable, secure, and production-ready AI solutions.
- Communicate project progress, risks, milestones, and technical blockers to technical and business stakeholders.
Requirements
- Advanced proficiency in Python and SQL, including BigQuery.
- Strong hands-on experience with Vertex AI Model Garden, Vertex AI Pipelines, model evaluation and optimization, Vertex AI Endpoints, and Vertex AI Agent Builder.
- Understanding of agentic AI architectures, multi-agent systems, stateful real-time processing, contextual memory, retrieval systems, and AI orchestration frameworks.
- Practical experience with Google Cloud Platform, Google Cloud Storage, BigQuery, Cloud Spanner, and Vertex AI Endpoints.
- Experience with data preprocessing, feature engineering, data scaling and normalization, encoding techniques, missing-value imputation, and model performance monitoring.
- Preferred experience in Financial Services, banking, FinTech, or retail.
- Knowledge of credit risk assessment, fraud detection, royalty forecasting, search relevance optimization, or customer intelligence platforms is preferred.
- Knowledge of data privacy, governance, regulatory compliance, and PII protection is preferred.
- Experience with data masking, data redaction, secure data handling, and compliance-driven AI architectures is preferred.
Benefits
- Paid time off, including 12–25 vacation days depending on employee grade, company 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. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
- Regular full-time employees receive a comprehensive, non-negotiable benefits package.
- 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.