AI Developer - Python - GCP

Capgemini • Nashville, TN

5d • $68,911 - $161,544 • Hybrid

About The Position

At Capgemini, you will collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. You will contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment.

Requirements

• Strong hands-on experience with: Vertex AI Model Garden, Vertex AI Pipelines, Model Evaluation and Optimization, Vertex AI Endpoints, Vertex AI Agent Builder
• Advanced proficiency in SQL (BigQuery) and Python for machine learning and data engineering.
• Experience with: Data preprocessing and feature engineering, Data scaling and normalization, Encoding techniques, Missing value imputation, Model performance monitoring
• Understanding of modern agentic AI architectures and multi-agent systems.
• Familiarity with stateful real-time processing, contextual memory, retrieval systems, and AI orchestration frameworks.
• Knowledge of current trends and innovations in Generative AI and autonomous agents.
• Practical experience with: Google Cloud Platform (GCP), Google Cloud Storage (GCS), BigQuery, Cloud Spanner, Vertex AI Endpoints

Nice To Haves

• Experience in Financial Services, Banking, FinTech, or Retail domains.
• Understanding of industry-specific use cases such as: Credit Risk Assessment, Fraud Detection, Royalty Forecasting, Search Relevance Optimization, Customer Intelligence Platforms
• Knowledge of data privacy, governance, and regulatory compliance.
• Experience implementing PII protection, including: Data masking, Data redaction, Secure data handling practices, Compliance-driven AI architectures

Responsibilities

• Design and develop intelligent AI agents using Vertex AI Agent Builder to automate complex business processes and workflows.
• Leverage the Agent Development Kit (ADK) to build, orchestrate, and manage multi-agent systems capable of collaborating on end-to-end business challenges.
• Implement and integrate Model Context Protocol (MCP) Toolbox to securely connect AI agents with enterprise data platforms such as BigQuery and Cloud Spanner.
• Architect scalable agentic solutions that effectively combine reasoning, retrieval, tool usage, and workflow automation.
• Utilize Vertex AI for model training, fine-tuning, evaluation, and deployment, while integrating seamlessly with BigQuery for feature engineering and analytics.
• Build and optimize real-time and batch data pipelines using services such as Dataflow to support large-scale AI and ML workloads.
• Enable low-latency inference through Vertex AI Endpoints and RunInference APIs for production-grade AI applications.
• Implement retrieval-augmented architectures using vector search capabilities within BigQuery and AlloyDB, ensuring AI systems remain grounded in current business context and reducing knowledge drift.
• Attend internal and customer-facing meetings punctually and consistently.
• Remain actively engaged in technical discussions, reviews, and planning sessions.
• Provide regular, structured updates on project progress, milestones, risks, and technical blockers.
• Communicate effectively with both technical teams and business stakeholders.
• Seek guidance when encountering challenges and contribute to a collaborative problem-solving culture.
• Support peers through knowledge sharing, code reviews, and troubleshooting efforts.
• Work closely with stakeholders to translate business objectives into scalable and maintainable technical solutions.
• Navigate complex enterprise environments and align AI initiatives with organizational goals.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed