Lead AI Engineer

Martin Brower • Rosemont, IL

7d

About The Position

This role is responsible for designing, developing, testing, and deploying enterprise AI applications and services. The Lead AI Engineer will develop scalable architectures that integrate AI capabilities into existing business systems and workflows, and design and implement agentic AI patterns for reasoning, data retrieval, and workflow support. The position involves defining reusable agent frameworks for key business areas and mentoring team members on AI engineering best practices. Collaboration with business stakeholders to identify AI opportunities is also a key aspect of this role. Other projects or duties as assigned.

Requirements

• Bachelor's Degree in Computer Science, Engineering, Data Science, Information Technology, or related discipline with 4 to 6 years of experience in software engineering, data engineering, machine learning, or AI development or High School Diploma/General Education Degree (GED) with 7 to 9 plus years of specific experience
• 3+ years of hands-on experience implementing AI and machine learning solutions in production environments.
• Experience designing enterprise-scale applications and cloud-based architectures.
• Experience with Python, SQL, REST APIs, Git and DevOps practices, Machine Learning frameworks (TensorFlow, PyTorch, Scikit-Learn), Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.), Prompt Engineering, and Retrieval-Augmented Generation (RAG)
• Experience with Vector Databases, Cloud Platforms (Azure, AWS, Google Cloud), CI/CD and Infrastructure Automation, Data Modeling and Data Engineering fundamentals, Microsoft Graph API, Cosmos DB or equivalent vector / operational data stores, GitHub Copilot and modern DevOps practices, and Snowflake or enterprise data platform integration

Nice To Haves

• Azure AI Foundry
• Microsoft Copilot Studio
• Microsoft Fabric
• Snowflake
• Databricks
• LangChain
• Semantic Kernel
• Docker
• Kubernetes
• MLflow
• LlamaIndex
• Agent Frameworks and Autonomous AI Systems

Responsibilities

• Design, develop, test, and deploy enterprise AI applications and services
• Develop scalable architectures that integrate AI capabilities into existing business systems and workflows
• Design and implement agentic AI patterns that can reason, retrieve enterprise data, trigger workflows, and support business actions
• Define reusable agent frameworks for priority use cases across in Supply Chain, ROP, Call Center, and Operations
• Mentor and coach developers, analysts, and technical team members on AI engineering best practices
• Collaborate with business stakeholders to understand challenges and identify AI opportunities
• Other projects or duties as assigned

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid Time Off
• Retirement Benefits
• complimentary Health Screenings

What This Job Offers

• Job Type: Full-time
• Career Level: Senior