AI Engineer -Data Scientist

Capgemini; Chicago (IL); Hybrid; USD 77,000 - 151,000; Full time

Benefits offered by this job

Paid time off

Holidays

Personal days

Sick leave

Medical coverage

Dental coverage

Vision coverage

401(k) / RRSP

Job summary

Capgemini is hiring a GenAI Engineer / Data Scientist to design, build, and deploy generative and predictive AI solutions from Chicago. You will develop and deploy AI models, integrate NLP, CV, and various ML techniques, and leverage cloud-native platforms and REST APIs.

The role requires 5+ years in Data Science/AI, strong Python/SQL skills, and experience with LangChain, TensorFlow, and MLOps. This hybrid position is based in Chicago with remote options across select hubs.

Qualifications

• 5+ years of experience in Data Science, Machine Learning, AI, 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 connectivity.
• Hands-on experience with Generative AI, LLMs, and modern AI frameworks.

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 and autonomous workflows for process automation and decision-making.
• Implement Retrieval-Augmented Generation (RAG) and LLM-powered applications.

Skills

Generative AI

LLMs

NLP

API integration

Python

SQL

MLOps

Cloud platforms

LangChain

TensorFlow

Tools

LangChain

TensorFlow

REST APIs

JSON

HTTP Protocols

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)