Agentic AI Developer

Capgemini • Atlanta, GA

1d • $100,000 - $100,000 • Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

• Design and develop Agentic AI solutions using modern agentic platforms, MCP, and A2A communication frameworks
• Build and deploy end-to-end Generative AI applications from inception to production, including AI coding assistants and enterprise use cases
• Implement and optimize RAG (Retrieval-Augmented Generation) pipelines for scalable and efficient knowledge retrieval
• Design and implement embeddings and vector databases to enable semantic search and contextual AI capabilities
• Integrate and leverage AWS Bedrock APIs for LLM-based application development
• Utilize LangChain or similar orchestration frameworks to design AI workflows and multi-step reasoning systems
• Architect and deploy GenAI solutions on AWS cloud, ensuring scalability, security, and performance
• Implement AI observability and monitoring practices to track model performance, usage, and reliability
• Collaborate with DevOps teams to enable CI/CD pipelines and automated deployments for AI solutions
• Apply strong problem-solving and system design skills to build robust and scalable AI architectures
• Lead technical discussions and contribute to solution design, architecture decisions, and best practices
• Communicate effectively with stakeholders and provide technical leadership and mentorship across teams

Responsibilities

• Design and develop Agentic AI solutions using modern agentic platforms, MCP, and A2A communication frameworks
• Build and deploy end-to-end Generative AI applications from inception to production, including AI coding assistants and enterprise use cases
• Implement and optimize RAG (Retrieval-Augmented Generation) pipelines for scalable and efficient knowledge retrieval
• Design and implement embeddings and vector databases to enable semantic search and contextual AI capabilities
• Integrate and leverage AWS Bedrock APIs for LLM-based application development
• Utilize LangChain or similar orchestration frameworks to design AI workflows and multi-step reasoning systems
• Architect and deploy GenAI solutions on AWS cloud, ensuring scalability, security, and performance
• Implement AI observability and monitoring practices to track model performance, usage, and reliability
• Collaborate with DevOps teams to enable CI/CD pipelines and automated deployments for AI solutions
• Apply strong problem-solving and system design skills to build robust and scalable AI architectures
• Lead technical discussions and contribute to solution design, architecture decisions, and best practices
• Communicate effectively with stakeholders and provide technical leadership and mentorship across teams

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
• Education Level: No Education Listed