4 days ago
Base Salary
$69k - $162k/yr
Responsibilities
- Design and develop intelligent AI agents with Vertex AI Agent Builder to automate complex business processes.
- Build, orchestrate, and manage multi-agent systems using the Agent Development Kit.
- Integrate Model Context Protocol Toolbox with enterprise platforms including BigQuery and Cloud Spanner.
- Architect scalable agentic solutions combining reasoning, retrieval, tool usage, 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.
- Deploy low-latency inference using Vertex AI Endpoints and RunInference APIs.
- Implement retrieval-augmented architectures using vector search in BigQuery and AlloyDB.
- Collaborate with technical teams, business stakeholders, and customers to translate objectives into production-ready solutions.
- Provide project updates, participate in reviews and planning, share knowledge, and support troubleshooting.
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 Python and SQL, including BigQuery, for machine learning and data engineering.
- Experience with data preprocessing, feature engineering, scaling and normalization, encoding, missing-value imputation, and model performance monitoring.
- 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.
- Preferred experience in financial services, banking, FinTech, or retail.
- Preferred knowledge of credit risk, fraud detection, royalty forecasting, search relevance optimization, or customer intelligence use cases.
- Preferred knowledge of data privacy, governance, regulatory compliance, PII protection, data masking, data redaction, and secure data handling.
- Strong collaborative, consultative, and stakeholder communication skills.
Benefits
- Base benefits for regular full-time employees may include 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 and employee assistance programs.
- Additional benefits are provided according to 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.