Applied AI Engineer

Nucor Business Technology is seeking an Applied AI Engineer to engineer, deploy, and support full-stack, AI-driven web applications on enterprise AI platforms. The role sits at the intersection of applied machine learning, software delivery, and enterprise enablement, with close collaboration across OT, IT, cybersecurity, and business SMEs to support reliability, safety, and compliance.

This onsite position in Dallas, TX, United States involves building proofs-of-technology, moving validated results into scalable solutions, and maintaining the DataOps and MLOps tooling that powers production workloads.

What you will do

• 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 scale wins into solutions that are supportable.
• Configure, maintain, and support DataOps and MLOps tooling, including pipelines, job orchestration, feature stores, monitoring, and CI/CD.
• Rapidly create custom AI and ML solutions for time-sensitive needs across scrap, EAF, casting, rolling, finishing, logistics, and commercial workflows.
• Develop and deploy full-stack enterprise applications powered by AI.
• Conduct design and development reviews, test, troubleshoot, and enhance software applications.
• Deliver technical deep-dives, demonstrations, and internal training.
• Create user playbooks and quick-start guides, supporting enablement and training sessions.
• Collaborate with OT, IT, and cybersecurity teams, along with business SMEs, to align with Nucor guardrails for reliability, safety, and compliance.
• Work effectively in ambiguity with hands-on practices in mill environments.
• Write application specifications and documentation.
• Continuously identify technical risks and gaps and develop mitigation strategies aligned to upcoming team needs.

Skills and experience

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline.
• Equivalent combinations 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 baseline CI/CD concepts.
• Experience operating production pipelines and jobs, including alerting and observability.
• Demonstrated ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards at all times.

Technologies

• C3.ai
• Palantir Foundry
• Python, SQL
• CI/CD, Git
• JavaScript, React, Redux, Vue, Backbone, Angular
• Azure
• Power BI, Tableau, Qlik
• Figma

Preferred qualifications

• Experience with enterprise AI application platforms and their semantic or object models (for example, C3.ai model types or Palantir Foundry ontology).
• Strong software development background with Python and JavaScript, including modern JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular.
• Proficiency with Git or other version control systems.
• Experience deploying software to major cloud platforms such as Azure.
• Solid understanding of SQL and NoSQL databases, data structures, algorithms, and time-series data analysis, including cleansing and normalization.
• Working knowledge of Agile software development methodologies.
• Strong grasp of common machine learning techniques, applications, and trade-offs.
• Experience with data visualization tools including Power BI, Tableau, or Qlik.
• Familiarity with Figma or similar design and prototyping tools for UI/UX collaboration.
• Exposure to plant historians, MES, event streams, or edge integrations.
• Experience managing continuous improvement projects and implementing supply chain AI applications.
• Ability to translate business needs into system requirements and communicate effectively across technical and business teams.

Benefits

• Medical, Dental, Vision
• Disability Insurance
• 401K and Roth accounts
• Profit sharing
• Pay-for-performance bonuses
• Paid parental leave
• Tuition reimbursement
• Stock program
• Scholarships