Applied AI Engineer

Nucor•Dallas, TX

1d•Onsite

About The Position

Nucor Business Technology (NBT) is seeking an Applied AI Engineer for its AI & Emerging Tech Team. The role engineers, deploys, and supports full-stack AI-driven web applications on enterprise AI platforms such as C3.ai, Palantir Foundry, or similar platforms. The engineer works directly with stakeholders to design, develop, and operationalize production applications, demonstrations, and proofs of technology, while leading enablement and training initiatives to drive adoption and measurable outcomes. The position supports division, commercial, and corporate teams, developing AI and machine-learning solutions for needs across scrap, electric arc furnace (EAF), casting, rolling, finishing, logistics, and commercial operations. It also involves operating and supporting DataOps and MLOps tooling, collaborating with OT, IT, cybersecurity, and business subject-matter experts, and working practically in mill environments. Candidates must be legally authorized to work in the United States; NBT will not sponsor visas now or in the future. Due to federal security requirements, only U.S. citizens and lawful permanent residents are eligible. Nucor emphasizes safety, and candidates must demonstrate the ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards.

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline; an 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 of experience with Python, SQL, notebooks, version control, and CI/CD basics.
Working experience operating production pipelines and jobs, including alerting and observability.
Legally authorized to work in the United States; visa sponsorship is not available now or in the future.
Must be a U.S. citizen or lawful permanent resident due to federal security requirements.
Ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards.

Nice To Haves

Prior experience with enterprise AI application platforms and their semantic/object models, such as 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 leading 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 such as 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.
Demonstrated ability to translate business needs into system requirements and communicate effectively across technical and business teams.

Responsibilities

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 successful efforts into scalable, supportable solutions.
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 needs across scrap, EAF, casting, rolling, finishing, logistics, and commercial operations.
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 and quick-start guides, and run enablement and training sessions.
Collaborate with OT, IT, cybersecurity, and business subject-matter experts to meet Nucor guardrails for reliability, safety, and compliance.
Work through ambiguity with a hands-on, practical approach in mill environments.
Write application specifications and documentation.
Identify technical risks and gaps and devise mitigation strategies in anticipation of team needs.