Agentic AI Engineer

Capgemini • Nashville, TN

20h • Hybrid

About The Position

Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions.

Requirements

• 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions.
• Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK).
• Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment.
• Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation.
• Experience with data preprocessing techniques including scaling, encoding, and imputation.
• Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services.
• Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures.
• Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines.
• Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies.
• Familiarity with stateful real-time processing and emerging agentic architecture innovations.
• Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization.
• Experience performing debugging, troubleshooting, and optimization of AI and data platforms.
• Experience working in Agile/Scrum delivery environments.
• Strong analytical thinking and problem-solving skills.
• Strong communication and collaboration skills with cross-functional teams.

Responsibilities

• Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
• Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges.
• Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner.
• Utilize Vertex AI for model training, tuning, deployment, and lifecycle management.
• Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints.
• Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance.
• Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services.
• Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services.
• Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers.
• Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures.
• Work in a team covering business and technology with representatives from client to produce overall quality delivery.

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
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

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