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About the Role
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.
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.
Requirements
- 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.
Skills
- Python
- Google Cloud Platform (GCP)
- Cloud-native architecture
- Terraform
- Infrastructure as Code (IaC)
- AI/ML application deployment
- Full-stack development
- Enterprise system integration
- Customer-facing platform integration
- APIs
- Microservices
- Networking
- Security
- System integrations
- MLOps
- Monitoring
- Logging
- Observability frameworks
Location
- Atlanta
Work Type
- Hybrid
Experience Level
- Senior
Education Level
- Master's or PhD in Computer Science, AI, Machine Learning, or a related field (Preferred)
Salary/Compensations
- $82,082 to $193,440
Benefits
- Paid time off based on employee grade (A-F): 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
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
- It is a responsible and diverse group of 340,000 team members in more than 50 countries.
- With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
- It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
- Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.