Jetsupport
AI Solution Architect
Chicago, IL
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hirly's read of this role
- Seniority
- Mid level
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Sept 2026
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the posting
About JSSI
Founded in 1989 and headquartered in Chicago, Jet Support Services, Inc. (JSSI) is the largest independent provider of hourly cost maintenance programs for business aviation. JSSI delivers comprehensive coverage for engines, airframes, and auxiliary power units (APUs) across more than 300 different aircraft makes and models, helping owners and operators stabilize maintenance budgets, maximize aircraft availability, and protect asset value throughout the lifecycle of ownership. JSSI has built a portfolio of complementary business lines designed to simplify the economic and technical complexity of business aviation; these include Maintenance teams , Traxxall maintenance tracking software, Parts & Engines , Conklin aircraft cost and performance data, and Aviation Capital asset-based financing solutions. Together, these offerings support owners, operators, and maintenance providers with integrated tools spanning ownership and maintenance planning, execution, and financial management. With more than 6,500 aircraft supported through programs and software platforms, JSSI leverages its unique independence, unmatched scale, and data-driven insight to deliver customized solutions and support models aligned to the interests of each client — regardless of aircraft platform. JSSI is backed by leading institutional investors GTCR, Genstar Capital, and Blackstone. Learn more at jetsupport.com .
Position Summary :
The AI Solution Architect plays a critical role in advancing JSSI’s AI First engineering strategy and execution from concept to production. Reporting to the Director of Engineering, this role helps shape and drive the architecture standards and execution for AI agents, spec-driven development (SDD), and enterprise automation, spanning Engineering, Product, Sales, Finance, Customer Service, and Operations.
This is a hands-on, high-ownership role: you will design, build, and deploy AI systems rapidly and own their outcomes, measured on impact rather than intent. Success demands as much from your ability to listen, communicate, and influence as from your technical depth. You will engage business stakeholders across the organization, translate their needs into scalable solutions, and guide others toward better outcomes.
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