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# Lead Software Engineer

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $88,544.0 - $207,401.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Cloud Computing, Cloud Engineering, Software Debugging, Python (Programming Language), Machine Learning, Cloud Services, Software Engineering, Systems Integration, Data Logging, Google Cloud, Enterprise Software Applications, Chatbots, ReactJS, Evaluation Pipelines, Retrieval-Augmented Generation, Multi-Agent Systems, Agentic-AI, AI Platforms, Infrastructure Automation Frameworks, Information Technology, Low Latency, Data Management, Machine Learning Operations, Terraform, Legacy Systems, Programming Languages, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-software-engineer-atlanta-ga--0d992368-7ff6-4d71-8676-3659a82fe20d

## About the Role

Software Engineering, Team Player, Customer Experience, Continuous Improvement, Cross-Functional, Technical Delivery, Artificial Intelligence (AI), Product Lifecycle, Prototyping, Application Programming Interface (API), * experience in software development experience 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.

Preferred Qualification

 * Masters 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.

## Description

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., * 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.