AI Engineer -Data Scientist

# AI Engineer
-Data Scientist Chicago Apply  for this job
* Permanent* Experienced Professionals
* Data & AI
* -en _USChoosing 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.##

Location This is a hybrid role based in Houston TX, Dallas TX, Atlanta GA, Nashville TN.## About the Job You're Considering Capgemini is seeking a GenAI Engineer / Data Scientist to design, build, and deploy Generative AI and Predictive AI solutions that drive business value across enterprise environments. This role partners with business stakeholders, data engineers, architects, and application teams to develop AI-powered applications, agentic workflows, and intelligent automation solutions while leveraging modern cloud, MLOps, and data engineering practices.##

Your Role
• Develop and implement Generative AI and Predictive AI models for enterprise use cases.
• Build AI solutions involving NLP, computer vision, classification, regression, and clustering techniques.
• Design and integrate AI applications using APIs, REST services, authentication frameworks, and cloud-native platforms.
• Develop AI agents, agentic workflows, and autonomous systems for process automation and decision-making.
• Implement Retrieval-Augmented Generation (RAG) and LLM-powered applications.
• Deploy, monitor, and optimize AI models in production environments using MLOps best practices.
• Design and maintain scalable data pipelines, data lakes, and data warehouse solutions.## Your Skills and Experience
• At least 5+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
• Strong programming experience with Python and SQL.
• Experience developing and integrating REST APIs, JSON, HTTP Protocols, and authentication/token-based security.
• Strong understanding of API integration, documentation, and enterprise application connectivity.
• Hands-on experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.
• Experience working with GPT, Claude, Stable Diffusion, and similar foundation models.
• Strong experience with Lang Chain and LLM orchestration frameworks.
• Experience developing machine learning solutions using Tensor Flow and related AI/ML technologies.
• Knowledge of NLP, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
• Experience designing and deploying AI agents and agentic workflows.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).The base compensation range for this role in the posted location is $76,730 to $150,800 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting.

This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be…