Capgemini is seeking a GenAI Engineer/Data Scientist in Atlanta, United States, to design, develop, deploy, and maintain Generative AI and Predictive AI solutions that deliver business value. The role blends AI/ML expertise with application integration, data engineering, cloud platforms, and MLOps, working closely with business and technical teams. Responsibilities include developing Generative AI solutions (e.g., GPT, Claude, Stable Diffusion), predictive models (regression, classification, clustering), NLP and computer vision applications, and building AI-powered agents and agentic workflows for process automation. You will implement Retrieval-Augmented Generation (RAG) and multimodal AI applications, and contribute to application architecture and API integration. Requirements: Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field; 3-5+ years of experience in AI/ML, application development, or data science; experience deploying and managing production AI systems. Ideal candidate: hands-on GenAI Engineer/Data Scientist with expertise in Generative AI, cloud platforms, data engineering, MLOps, APIs, and AI agents, capable of building, deploying and scaling enterprise AI solutions from development through production. Base compensation range for this role in the posted location is $70,000-$120,000; Capgemini notes compensation may vary by location and local laws. Capgemini offers a comprehensive benefits package to regular, full-time employees, including PTO, health coverage, retirement plans, life and disability insurance, and other benefits

Capgemini is seeking a GenAI Engineer/Data Scientist in Atlanta, United States, to design, develop, deploy, and maintain Generative AI and Predictive AI solutions that deliver business value. The role blends AI/ML expertise with application integration, data engineering, cloud platforms, and MLOps, working closely with business and technical teams. Responsibilities include developing Generative AI solutions (e.g., GPT, Claude, Stable Diffusion), predictive models (regression, classification, clustering), NLP and computer vision applications, and building AI-powered agents and agentic workflows for process automation. You will implement Retrieval-Augmented Generation (RAG) and multimodal AI applications, and contribute to application architecture and API integration. Requirements: Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field; 3-5+ years of experience in AI/ML, application development, or data science; experience deploying and managing production AI systems. Ideal candidate: hands-on GenAI Engineer/Data Scientist with expertise in Generative AI, cloud platforms, data engineering, MLOps, APIs, and AI agents, capable of building, deploying and scaling enterprise AI solutions from development through production. Base compensation range for this role in the posted location is $70,000-$120,000; Capgemini notes compensation may vary by location and local laws. Capgemini offers a comprehensive benefits package to regular, full-time employees, including PTO, health coverage, retirement plans, life and disability insurance, and other benefits