Lead Software Engineer

Capgemini • Atlanta, GA

2d • 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. As a Forward Deployed Engineer (FDE) - Applied AI, you will act as the primary technical driver for customers' strategic AI initiatives. You will transform conversational AI prototypes into scalable, production-ready solutions, leading the end-to-end development lifecycle of agentic AI applications. This role requires expertise in software engineering, cloud infrastructure, MLOps, and enterprise AI integrations.

Requirements

• Experience in software development using Python or similar programming languages.
• Strong experience with Google Cloud Platform (GCP) and cloud-native architecture.
• Hands-on experience with Terraform or similar Infrastructure as Code tools.
• Expertise in designing and deploying AI/ML applications in production environments.
• Experience building full-stack applications integrated with enterprise systems and customer-facing platforms.
• Strong understanding of APIs, microservices, networking, security, and system integrations.
• Experience with MLOps, monitoring, logging, and observability frameworks.

Nice To Haves

• Master's or PhD in Computer Science, AI, Machine Learning, or a related field.
• Experience with multi-agent frameworks, including ReAct, self-reflection, and agent orchestration patterns.
• Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and enterprise knowledge base integrations.
• Experience debugging AI agents, optimizing tool selection, and tracing distributed workflows across microservices.
• Proven track record of supporting and troubleshooting high-volume, customer-facing production systems.
• Strong client-facing communication and stakeholder management skills.

Responsibilities

• Lead the development and deployment of Conversational AI and Agentic AI solutions, transforming prototypes into production-grade applications.
• Design and implement multi-agent systems, conversational workflows, and AI-powered customer experience (CX) solutions.
• Build integrations between AI platforms and enterprise environments, including APIs, legacy systems, data platforms, and security frameworks.
• Develop evaluation pipelines, observability frameworks, and monitoring solutions to optimize AI system performance, reliability, and scalability.
• Troubleshoot and optimize agent behavior, reasoning workflows, tool selection, latency, and overall system efficiency.
• Leverage Infrastructure as Code (IaC) tools such as Terraform to automate cloud deployments and networking configurations.
• Partner with customer engineering teams to deliver AI solutions while driving best engineering practices and adoption.
• Identify recurring implementation patterns and contribute reusable frameworks, accelerators, and product improvement recommendations.

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
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior