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FTE Factory Advisors logo

AI Systems Engineer

FTE Factory Advisors
Posted Jun 11, 2026, 9:16 PM UTC
🇺🇸United States🏢Hybrid📁Data & Analytics
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Export Control & Compliance Notice: Because this AI Systems Engineering role directly supports data and systems subject to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR), candidate eligibility is strictly governed by US federal law. Applicants must qualify as a "U.S. Person" (U.S. Citizen, Lawful Permanent Resident/Green Card Holder, Asylee, or Refugee). We cannot provide or transfer visa sponsorship for this position. Candidates holding temporary student or work visas (F-1 OPT/CPT, H-1B, TN, etc.) are strictly ineligible for this role due to these federal compliance constraints. [ Are you the kind of engineer who wants to see your work deployed, trusted, and used in real customer environments—not left in notebooks or demos? Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you’re energized by architecture, data engineering, and modern AI delivery, this role is for you. About Us FTE Factory Advisors helps manufacturing and operational organizations unlock higher performance — boosting revenue, reducing costs, and driving compliance through people-first strategies. Our clients are decision-makers at the top of their industries, and they trust us to deliver lasting impact. The Opportunity We’re seeking an AI Systems Engineer to design and build the technical foundation behind our AI-enabled solutions on customer sites. This role sits at the intersection of software engineering, data engineering, and AI architecture. You’ll be responsible for turning business objectives into AI solutions that operate in production environments. You’ll serve as the technical counterpart to FTE’s manufacturing and operations experts—bringing structure, rigor, and execution discipline to AI-enabled solutions in real customer environments. You’ll own core architecture decisions, lead hands-on implementation, and develop reusable patterns as our AI delivery scales across clients and use cases.

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