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# AI/ML Engineer

- **Company:** NTT DATA, Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Technology Consulting, Data Governance, Distributed Systems, Python (Programming Language), Machine Learning, Secure Coding, Large Language Models, Prompt Engineering, Software Security, Containerization, Kubernetes, Bicep, Virtual Agents, Terraform, Docker, Microservices
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/ai-ml-engineer-chicago-il-usa-58918570

## About the Role

data * 5-10 years of experience in AI/ML engineering * Hands-on GenAI expertise with LLMs, RAG, prompt engineering, and Agentic AI concepts * Exposure to LangChain, LangGraph, Microsoft Foundry Agent Service, AWS Bedrock * GenAI ops experience across design, deployment, scaling, and observability * Cloud experience on Azure and AWS; distributed systems fundamentals * Containerization and orchestration (Docker, Kubernetes) * Infrastructure as Code (Terraform, ARM/Bicep) * Strong Python development and microservices experience * Technical leadership with ability to translate business problems into secure, scalable AI solutions Key requirements *

## Description

Experteer Overview In this AI/ML Engineer role you will drive GenAI initiatives within an IT consulting context, delivering end-to-end AI solutions for enterprise-scale environments. You will design, implement and operationalize GenAI workloads, ensuring secure, scalable deployments and observability. You will collaborate with cross-functional teams to translate complex business problems into robust AI systems. This is a hands-on, technically influential role that shapes architecture and mentoring for senior engineers. Compensation / Benefits * Architect and implement GenAI solutions including LLMs, RAG, and agentic concepts * Oversee end-to-end GenAI ops: design, secure deployment, horizontal scaling, production observability * Lead architectural direction and mentor senior engineers in AI/ML initiatives * Collaborate across cloud platforms to build scalable AI systems using containerization and IaC * Ensure secure coding and data handling practices in enterprise-scale environments Tasks * 5-10 years of experience in AI/ML engineering * Hands-on GenAI expertise with LLMs, RAG, prompt engineering, and Agentic AI concepts * Exposure to LangChain, LangGraph, Microsoft Foundry Agent Service, AWS Bedrock * GenAI ops experience across design, deployment, scaling, and observability * Cloud experience on Azure and AWS; distributed systems fundamentals * Containerization and orchestration (Docker, Kubernetes) * Infrastructure as Code (Terraform, ARM/Bicep) * Strong Python development and microservices experience * Technical leadership with ability to translate business problems into secure, scalable AI solutions Key requirements *


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