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Applied AI Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Nucor Corporation
Full Time position
Listed on 2026-10-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Welcome to Nucor, where our unique culture sets us apart. Joining Nucor means becoming part of North America’s largest steel and steel products manufacturer, offering unmatched career opportunities and stability. We are known for our innovative sustainability practices and are the continent’s largest recycler. Our vibrant culture, built on personal connections and teamwork, empowers every team member with the freedom to innovate and contribute to our collective success.

Experience a workplace where safety, efficiency, and meaningful personal connections define every day, enriching both our teammates and the communities we serve.

Nucor supports its teammates with top-tier benefits like Medical, Dental, Vision, and Disability Insurance, 401K and Roth accounts, Profit sharing, Pay-for-performance bonuses, Paid parental leave, Tuition reimbursement, Stock program, Scholarships and more.

Basic

Job Functions:

Nucor Business Technology (NBT) is seeking qualified applicants for the position of
Applied AI Engineer within our AI & Emerging Tech Team. The successful candidate will engineer, deploy, and support full-stack AI-driven web applications on enterprise AI platforms such as C3.ai, Palantir Foundry, or similar. This role involves working directly with stakeholders to design, develop, and operationalize production applications, demos, and proofs-of-technology, as well as leading enablement and training initiatives to drive adoption and measurable outcomes.

Candidates must be legally authorized to work in the US (Nucor Business Technology (NBT) will not sponsor the need for a visa now or in the future). Due to federal security requirements applicable to this role, only U.S. citizens and lawful permanent residents are eligible for consideration.

Safety is the most important part of all jobs within Nucor; therefore, candidates must be able to demonstrate the ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards at all times.

Responsibilities include but not limited to:
  • Build, deploy, and support AI applications and workflows for division, commercial, and corporate teams on enterprise AI platforms.
  • Stand up proofs of value, validate results quickly, and convert wins into scalable, supportable solutions.
  • Configure, maintain, and support Data Ops and MLOps tooling, including pipelines, job orchestration, feature stores, monitoring, and CI/CD.
  • Rapidly create custom AI and ML solutions for urgent needs across scrap, EAF, casting, rolling, finishing, logistics, and commercial.
  • Develop and deploy full-stack, AI-based enterprise applications.
  • Conduct design and development reviews, test, troubleshoot, and enhance software applications.
  • Deliver technical deep-dives, demonstrations, and internal training.
  • Create user playbooks, quick-start guides, and run enablement and training sessions.
  • Collaborate with OT, IT, cybersecurity, and business SMEs to meet Nucor guardrails for reliability, safety, and compliance.
  • Work across ambiguity with a hands-on approach and on-the-floor practicality in mill environments.
  • Write application specifications and documentation.
  • Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of team’s needs.
Minimum Qualifications:
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline. Equivalent combination of experience and education will also be considered.
  • 3+ years delivering AI or ML applications on enterprise platforms, or a relevant degree with strong internships or projects.
  • 1+ year experience with Python, SQL, notebooks, version control, and CI/CD basics.
  • Working experience operating production pipelines and jobs, including alerting and observability.
Preferred…
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