?Need to have valid US visa? (can be B1/B2 or H1B)

About the Role
We are looking for a Principal AI Architect to own the end-to-end architecture of our enterprise AI platform and to set the technical standard for how AI is designed, built, deployed, and governed across the company. This is a deeply technical, hands-on leadership role for someone who understands AI application architecture at a fundamental level and has repeatedly taken enterprise AI systems from concept to secure, robust, well-governed production at scale.

You will be the trusted technical authority partnering with engineering, data, security, risk, and business leaders to ensure every AI solution is architecturally sound, scalable, compliant with Responsible AI principles, and aligned with where the industry is heading. You will operate fluently across the full AI spectrum — classical machine learning, deep learning, computer vision, and contemporary LLM / agentic systems — and translate that breadth into reference architectures, guardrails, and production systems that teams across the enterprise build on.





The distance between identifying a customer problem and shipping a production solution is measured in weeks, and you'll own that entire journey, from the plant floor to the deployed system.

This role is based in Chicago and is on-site 5 days work from office.

Travel: Regular travel to customer sites, accross the US. Expect 50–60%. On non-travel weeks, you're in the Chicago office five days.

You'll spend time in factories, warehouses, engineering offices, planning meetings, and supply chain reviews, understanding how work actually gets done before deciding how software should improve it.

What You'll Do

Architecture & Technical Leadership
Own the end-to-end architecture of the enterprise AI platform: orchestration layers, LLM integration patterns, RAG and vector pipelines, agent frameworks, feature stores, model-serving infrastructure, API mesh, and reusable shared services.
Define architectural

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