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AI Leader

Job in Louisville, Jefferson County, Kentucky, 40201, USA
Listing for: Aegis Sortation, LLC
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

At Aegis, our purpose is clear: to create raving fans through expert innovation in intralogistics. Our team combines innovative thinking with deep industry expertise to deliver solutions for projects of all sizes, through puts, and complexities.

Aegis Sortation is a leader in the intralogistics technology and innovation space. Our expertise spans E-Commerce, Freight and Parcel, and Warehouse and Distribution. As a prime integrator, we have a team capable of conceptualizing and laying out complex systems, and completing detailed design engineering, procurement, and field installation across various project platforms. Our commitment to integrating excellence throughout the project life cycle sets us apart, delivering automation solutions to businesses ranging from local service providers to international logistics giants.

Job Description

We are seeking a forward-thinking AI Leader to spearhead the implementation of Artificial Intelligence across our growing innovative organization. This leader will set the vision, establish ethical and policy standards, and ensure our IT infrastructure and data strategy are prepared to support advanced AI initiatives. Serving as both a strategic leader and hands‑on data scientist, this role will guide the company in leveraging AI for productivity, content generation, and product development efforts.

The ideal candidate will ensure that AI adoption enhances human capability, aligns with company values, and drives sustainable competitive advantage.

Key Responsibilities
  • Define and execute the company’s AI strategy in alignment with overall business goals and company Flywheel.
  • Establish AI ethics and policy frameworks, ensuring responsible and transparent use of AI technologies.
  • Serve as a trusted advisor to senior leadership on AI opportunities, risks, and long-term impacts.
Infrastructure & Security
  • Ensure IT and security infrastructure meet evolving standards for AI adoption, including data privacy, cybersecurity, and compliance.
  • Partner with IT teams to maintain scalable, secure, and resilient platforms for AI integration.
Data Science & Analytics
  • Lead efforts to organize, cleanse, and structure enterprise data to maximize value from analytics and AI tools.
  • Design models and systems for predictive analytics, process optimization, and manufacturing innovation.
  • Translate data insights into actionable business strategies.
AI Adoption & Training
  • Champion organization-wide AI literacy, training employees to use AI tools productively and responsibly.
  • Develop tailored training programs for teams to integrate AI into daily workflows.
  • Foster a culture of innovation where AI augments—
    not replaces—human expertise.
  • Lead initiatives to integrate AI into product development, from design to quality control to preventative maintenance.
  • Drive the use of AI in content creation and automation to enhance communication, training, and marketing efforts.
  • Partner with R&D, operations and corporate back office teams to apply AI solutions for process improvements.
Embrace and promote by incorporating into your work the core values of Aegis:

1. Professionalism:
Maintain a positive attitude and strong work ethic. Everyone is accountable for their work. Above all, respect others.

2. Customer Focus:
Always work to exceed customer expectations.

3.

Collaboration:

Share ideas; train and mentor others to your level. Improve one another.
4. Take it Personal:
Complete every task as if your reputation depends on it. Because it does!

4. Make it Better:
Ask yourself, “What can I do to make our company better?”

5. Open Minded:
Look at the possibilities and think outside the box. Embrace change.

Qualifications
  • Bachelors degree in STEM or similar discipline (Masters preferred)
  • Proven experience in AI/ML strategy, implementation, and data science (manufacturing or industrial experience strongly preferred).
  • Strong technical foundation in machine learning, data engineering, and cloud infrastructure.
  • Familiarity with AI governance, ethics, and regulatory requirements.
  • Demonstrated ability to bridge strategy with execution—comfortable in both boardroom and code.
  • Exceptional communication skills with the ability to translate complex AI…
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