Building AI systems for entire engineering workflows
About this Event
9547 Collegeview Road is not a mailing address but makes a good navigational reference; or “Continuing Education and Customized Training at Normandale Partnership Center.”
Do not enter from the south lot, off 98th.
“Reserve a Spot” here before Sep. 6 for the Normandale catering order. Pizza tentative; let us know your preferences from the menu, noting the minimum orders of 10.
abstract
Artificial intelligence is rapidly expanding beyond software development into electrical, mechanical, and systems engineering. AI can already generate HDL, create programmatic schematics, produce parametric CAD, run simulations, analyze results, and iterate against defined success criteria. But the most important change is not that AI can perform individual engineering tasks. It is that we can now build systems capable of performing—and continuously improving—entire workflows.
That changes the engineer’s job.
In this talk, Steve Zielinski examines the shift from personally executing every step of the work to designing “the machine that builds the machine”: an engineered environment of agents, tools, structured information, verification methods, feedback loops, and human oversight. Drawing on examples from agentic software development, AI-assisted electrical and mechanical design, and regulated product development, he will show why the loop—not the model—is becoming the true unit of engineering productivity.
For systems engineers, this represents both an opportunity and a responsibility. Someone must define intent, decompose the work, establish interfaces, make context machine-readable, specify completion criteria, manage risk, and determine what evidence is sufficient to trust the result. Those are fundamentally systems-engineering problems.
The future does not eliminate the engineer. It elevates the engineer from operator to architect—from doing every task to building trustworthy systems that can do the work repeatedly, visibly, and at scale.
speaker
Steve Zielinski, CSEP, is Chief Technology Officer of Clairio and a partner at Recursive Awesome, where he focuses on the adoption and responsible use of artificial intelligence in regulated industries. He also serves as the AI/ML Track Leader for the INCOSE Systems Engineering in Healthcare Conference.
Steve has more than 20 years of experience spanning systems, software, hardware, and product development in the medical-device and defense industries. His work sits at the intersection of systems engineering, emerging technology, organizational leadership, and the disciplined development of complex, regulated products.
Steve holds a Bachelor of Arts from the University of St. Thomas, a Bachelor of Electrical Engineering from the University of Minnesota, and a master’s degree in Software Design and Development from the University of St. Thomas. He is a Certified Systems Engineering Professional and is named on six U.S. patents.
Click for Microsoft Teams meeting.
Meeting ID: 290 561 832 063 94
Passcode: qJ7dC6L5
Agenda
🕑: 06:00 PM
Network and socialize over food (provided)
🕑: 06:30 PM - 06:45 PM
Welcome & INCOSE North Star Chapter information
Host: Warren Porter, ASEP, Chapter President
🕑: 06:45 PM - 08:00 PM
Presentation, Buidling AI systems for entire engineering workflows
Host: Steve Zielinski, CSEP
🕑: 08:00 PM - 08:30 PM
Q & A
Where is it happening?
Event Location & Nearby Stays:
USD 0.00
