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Manager, AI

Job in Burlington, Chittenden County, Vermont, 05405, USA
Listing for: OnLogic, Inc.
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 170000 - 190000 USD Yearly USD 170000.00 190000.00 YEAR
Job Description & How to Apply Below

Overview

In this newly created leadership role within our Operational Excellence team, you will ignite innovation at OnLogic by designing and deploying high-impact AI solutions within our organization that drive significant business value. Success will be launching cutting-edge tools and championing systems and process shifts that ensure our AI initiatives are reliable and scalable.

This role requires an onsite presence at our South Burlington, Vermont office. We encourage candidates who are able to relocate or comfortably commute to apply.

In this role, you’ll be responsible for:
  • Effectively deploying AI across OnLogic, including driving the systems and structure needed to maintain the tools after implementation.
  • Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to ongoing projects.
  • Lead the development of new AI-powered features and products, identifying opportunities for innovation within the company.
  • Guide business process to support AI implementations and automation.
  • Determine feasibility for new AI projects that provide real business value.
  • Monitor and evaluate the performance of AI in production, ensuring reliability and scalability.
  • Manage and mentor a team of AI/ML developers.
The team you will be joining

Our Operational Excellence team is responsible for driving efficiencies and effectiveness across all functions of our global organization. This is accomplished by leveraging automation and a multitude of other improvement processes. Always living up to the way we work through innovation and process optimization, these team members work closely with all departments in identifying opportunities and implementing solutions to sustain gains in operational excellence.

Learn more about Life at OnLogic:

Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a similar technical/business field.
  • 5+ years of experience in AI/ML development and deployment, with at least 2 years in a leadership role managing technical teams.
  • Deep proficiency in Machine Learning (Supervised/Unsupervised), LLMs, and Computer Vision within industrial or manufacturing contexts.
  • Proven track record of orchestrating the full AI lifecycle, from ROI assessment to governance and long-term maintenance.
  • Experience designing scalable AI systems integrated with cloud platforms (AWS/Azure), Edge AI, and enterprise systems like MES or ERP.
  • Experience with data pipeline oversight, ensuring integrity, quality, and compliance with global standards (GDPR, NIST AI RMF).
  • Ability to work in the U.S. without visa sponsorship.
Who we’re looking for
  • Someone who thrives in an open and transparent culture. They hold themselves and other team members accountable in a constructive manner to drive productivity and achieve established goals.
  • A colleague who is independent, creative, and motivated to proactively drive continuous improvement; they have the ability to pick up new processes and technologies quickly and efficiently, and to learn and improve their knowledge to meet changes in company systems and requirements.
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to effectively operate in a collaborative, fast-paced environment and adapt to changing demands.
Who we are

OnLogic employees have the opportunity to shape our future and drive impactful change. We design and manufacture specialized computers and hardware solutions for companies all over the world, helping them to make the seemingly impossible possible. Our computers are designed to work where others fail, and it s our vision to be the first choice in industrial computing. We have an open office, open salaries, and strive to be fair and transparent in our decision making.

We encourage input and feedback from every member of our team and look to improve ourselves and our business every single day.

Diversity is an essential element of our core values. Not just respecting, but actively embracing a variety of backgrounds, life experiences, and opinions, helps us foster innovation, enhances our problem-solving capabilities, and promotes…

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