AI Engineer -Data Scientist
Backend Developer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Platform
Ai Security
Artificial Intelligence
Artificial Intelligence Engineer
Automation
Data Analysis
Data Analytics
Data Processing
Data Science
Data Scientist
DevOps
Engineer
Engineering
Genai
Generative AI
Industrial Automation
Information Technology (IT)
Large Language Models
Machine Learning
Machine Learning Engineer
Machine Vision
Mechatronics
NLP
Programming
Programming Language
Programming Languages
Rag Architectures
Robotics
Software Development
Job Description
Capgemini is hiring a GenAI Engineer / Data Scientist to design, build, and deploy generative and predictive AI solutions.
Responsibilities
- Develop and implement Generative AI and Predictive AI models for enterprise use cases
- Build AI solutions using NLP, computer vision, classification, regression, and clustering techniques
- Design and integrate AI applications using APIs, REST services, authentication frameworks, and cloud-native platforms
- Create 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 using MLOps best practices
- Design and maintain scalable data pipelines, data lakes, and data warehouse solutions
Requirements
- 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 with foundation models such as GPT, Claude, Stable Diffusion, and similar models
- Strong experience with LangChain and LLM orchestration frameworks
- Experience developing machine learning solutions using TensorFlow and related AI/ML technologies
- Knowledge of NLP, prompt engineering, embeddings, vector databases, and RAG
- Experience designing and deploying AI agents and agentic workflows
- Experience with cloud platforms such as AWS, Azure, or GCP
Technologies
- Python, SQL
- REST APIs, JSON, HTTP Protocols, authentication/token-based security
- Generative AI, Predictive AI, NLP, computer vision
- Retrieval-Augmented Generation (RAG), Large Language Models (LLMs)
- GPT, Claude, Stable Diffusion
- LangChain, TensorFlow
- Embeddings, vector databases
- AWS, Azure, Google Cloud Platform (GCP)
- MLOps
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 (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
Location
- Chicago, IL (hybrid)
- Hybrid role based in: Houston TX, Dallas TX, Atlanta GA, Nashville TN
Compensation Range
USD 76,730 - 150,800 per yearly (base compensation range for the posted location)
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