Lead Forward Deployed AI Engineer

Capgemini • Atlanta, GA

1d • $82,082 - $193,440 • Hybrid

About The Position

Capgemini is seeking a Lead Forward Deployed AI Engineer to drive the design and deployment of enterprise-scale Agentic AI and Conversational AI solutions on Google Cloud Platform. This customer-facing role partners with business and technology teams to transform AI prototypes into production-ready systems using Vertex AI, multi-agent architectures, RAG, and cloud-native services.

Requirements

• 7+ years of experience in Software Engineering, AI/ML, Cloud Engineering, or Data Engineering.
• Strong experience with GCP, Vertex AI, Vertex AI Agent Builder, ADK, and Model Garden.
• Advanced Python development skills and experience building enterprise applications.
• Hands-on experience with Agentic AI, multi-agent systems, Conversational AI, and CX solutions.
• Experience implementing RAG, vector databases, embeddings, and enterprise knowledge integrations.
• Experience with Terraform, cloud infrastructure, networking, and security.
• Knowledge of evaluation frameworks, observability, debugging, and AI system optimization.
• Experience integrating AI solutions with enterprise systems and APIs.
• Experience working in Agile/Scrum environments.
• Strong communication, stakeholder management, and problem-solving skills.
• Bachelor's degree in Computer Science, Engineering, or related field.

Nice To Haves

• Master's degree or PhD preferred.

Responsibilities

• Design and deploy Agentic AI and Conversational AI solutions using Vertex AI Agent Builder and ADK.
• Develop multi-agent workflows and integrate them with enterprise applications, APIs, and data platforms.
• Build and optimize RAG solutions leveraging BigQuery, AlloyDB, and vector search technologies.
• Implement secure integrations using MCP and cloud-native GCP services.
• Develop evaluation, monitoring, and observability frameworks for AI systems.
• Deploy and manage AI infrastructure using Terraform and modern DevOps practices.
• Optimize agent performance, reasoning, tool selection, latency, and user experience.
• Collaborate directly with client teams to deliver scalable, secure, and business-focused AI solutions.
• Translate business requirements into production-ready AI architectures.
• Participate in Agile delivery, client meetings, and technical design discussions.

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