AI Engineering Manager: Enterprise GenAI & ML-Ops Lead

Valmont Industries, Inc.

Omaha (NE)

On-site

USD 180,000 - 240,000

Full time

7 days ago
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Benefits offered by this job

Healthcare
401k matching
Paid time off
Life insurance
Disability coverage
Tuition reimbursement
Work-life balance

Job summary

Valmont Industries, Inc. is seeking a Management-level leader to head AI Engineering within Corporate Shared Services IT. You will lead a team of AI Engineers/Contractors to deliver scalable, secure AI solutions across operations, manufacturing, and supply chain.

You will bridge business stakeholders, Data & Analytics, Digital Manufacturing, and IT to define AI standards, delivery frameworks, and governance while driving measurable business value and responsible AI adoption.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, or related field with 8+ years of experience.
  • 3+ years of experience leading technical teams.
  • Proven AI/ML deployment experience in production environments.
  • Strong knowledge of Generative AI, LLMs, RAG, and AI agent architectures.
  • Experience with cloud platforms (Azure, AWS, Google Cloud).
  • Strong Python programming skills and modern ML frameworks.
  • ML-OPs practices including deployment, monitoring, versioning, testing, and lifecycle management.

Responsibilities

  • Lead the enterprise AI Engineering team delivering scalable AI solutions across functions.
  • Partner with business leaders to identify AI use cases with measurable value.
  • Develop and maintain the enterprise AI engineering roadmap.
  • Lead design, development, testing, deployment, and support of AI-powered applications.

Skills

AI leadership
Generative AI
LLMs
Python
ML-ops
Cloud platforms
DevOps
Data platforms
Communication

Education

Bachelor’s Degree in CS/Engineering
Master’s Degree in AI (nice to have)

Tools

Azure OpenAI
Databricks

Job description

Valmont Industries, Inc. is seeking a Management-level leader to head AI Engineering within Corporate Shared Services IT. You will lead a team of AI Engineers/Contractors to deliver scalable, secure AI solutions across operations, manufacturing, and supply chain.

You will bridge business stakeholders, Data & Analytics, Digital Manufacturing, and IT to define AI standards, delivery frameworks, and governance while driving measurable business value and responsible AI adoption.

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