AI Operations Engineer - Supply Chain

Key Responsibilities

• Identify and fix process inefficiencies across supply chain, manufacturing, and service operations using data and firsthand workflow analysis
• Design and deploy AI-driven automation to replace manual, repetitive tasks and improve decision-making
• Build and integrate solutions across ERP, planning, and operational systems
• Develop and operationalize AI/ML models and workflows, including data pipelines, automation scripts, and intelligent agents
• Rapidly prototype and scale solutions, turning ideas into production-ready systems that deliver measurable impact
• Monitor and optimize system performance, continuously improving accuracy, throughput, and cost efficiency
• Collaborate directly with operations teams to redesign workflows and embed AI into day-to-day execution
• Diagnose root causes of operational issues and implement durable, system-level fixes
• Track impact through KPIs (cost reduction, cycle time, service levels, productivity)

Qualifications / Profile

• 5-8+ years of similar work
• Strong hands-on experience in automation, data engineering, or AI/ML applied to operations
• Proven ability to build and deploy production solutions, not just analysis or dashboards
• Experience integrating AI with enterprise systems (ERP, supply chain, manufacturing, service platforms)
• Strong skills in Python, APIs, data pipelines, and automation tools
• Solid understanding of supply chain or manufacturing operations
• Highly analytical, practical, and execution-driven
• Comfortable working across functions and fixing real-world operational problems
• Willing and able to work from our Centennial, CO office during core business hours at a minimum (Tuesday - Thursday 10am-4pm)

Pay

Anticipated Annual Salary Range: $100,000 - $135,000 for qualified applicants.