IT AI Engineering Manager

Valmont Group; Omaha (NE); On-site; USD 150,000 - 210,000; Full time

Job summary

Valmont is seeking a Manager of AI Engineering to lead a team delivering enterprise AI and Generative AI solutions across the organization. You will oversee development, deployment, and operationalization of scalable, secure AI capabilities that improve manufacturing performance, quality, and productivity.

The role acts as a bridge between business stakeholders, Data & Analytics, Digital Manufacturing, Enterprise Architecture, and IT, establishing AI standards, governance, and reusable

Qualifications

• Experience leading AI engineering teams and delivering enterprise AI products.
• Strong knowledge of ML-ops, governance, security, and scalable architectures.
• Ability to translate business opportunities into production-ready AI solutions.

Responsibilities

• Lead enterprise AI Engineering to deliver secure, scalable AI solutions.
• Partner with stakeholders to identify AI use cases with measurable business value.
• Define AI engineering standards, delivery frameworks, and governance processes.
• Mentor engineers and ensure productive collaboration across Data & Analytics, IT, and Manufacturing.

Skills

AI Engineering

Leadership

Team Leadership

MLOps

Cloud Platforms

Python

Education

Bachelor's degree in Computer Science or related

Tools

Cloud Platforms

ML Frameworks

Python

Job description

15000 Valmont Plaza Omaha Nebraska 68154

Why Valmont

We're Here to Move the World Forward. Valmont impacts millions of people around the world every day, yet they might not realize the many ways. Our technology is helping feed the growing population, supplying the world with more reliable energy and access to renewables, enhancing connectivity in remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to make life better.

Join a Fortune 1000 company that respects hard work, honors diversity and invests in our employees as we focus on creating the world of tomorrow, today . We are the modern workforce . Are you ready to move the world forward?

A Brief Summary of This Position

This is a management-level position within the Corporate Shared Services IT organization responsible for leading the development, deployment, and operationalization of Artificial Intelligence (AI) and Generative AI capabilities across the enterprise. The Manager, AI Engineering will oversee a team of AI Engineers/Contractors focused on delivering scalable, secure, and business-driven AI solutions that improve operational efficiency, manufacturing performance, quality, supply chain optimization, and employee productivity.

This role serves as a key bridge between business stakeholders, Data & Analytics, Digital Manufacturing, Enterprise Architecture, and IT teams to transform business opportunities into production-ready AI products. The position is responsible for establishing AI engineering standards, AI delivery frameworks, ML-OPs practices, governance processes, and reusable enterprise AI capabilities while supporting the organization's AI strategy and roadmap.

Lead the enterprise AI Engineering function by delivering secure, scalable, and high-impact AI solutions that enable smarter operations, accelerate innovation, improve manufacturing performance, and create measurable business value across the organization.

It is essential to embody Valmont's core values of Passion, Integrity, Continuous Improvement, and Delivering Results while cultivating a workplace where employees feel valued, trusted, understood, and respected.

Essential Functions

• This position reports directly to the Senior Director, Data & Analytics, and will have direct reports.
• This role requires up to 25% travel (domestic and international), including overnight stays.
• Build, mentor, and lead a high-performing AI Engineering team responsible for developing enterprise AI and Generative AI solutions.
• Partner with business leaders to identify, prioritize, and deliver AI use cases that generate measurable business value.
• Develop and maintain the enterprise AI engineering roadmap aligned with strategic business objectives.
• Lead the design, development, testing, deployment, and support of AI-powered applications and intelligent automation solutions.
• Establish best practices for AI development, ML-OPs, model deployment, monitoring, and lifecycle management.
• Collaborate with Data Engineering teams to ensure AI solutions leverage trusted enterprise data assets from modern cloud data platforms.
• Drive implementation of Generative AI solutions, AI assistants, intelligent agents, and Retrieval-Augmented Generation (RAG) architectures.
• Develop reusable AI services, APIs, frameworks, and accelerators that enable rapid delivery of business solutions.
• Participate in data model and data product discussions to ensure AI requirements are incorporated into enterprise data architecture.
• Ensure AI solutions adhere to corporate security, compliance, privacy, and governance standards.
• Evaluate emerging AI technologies and recommend opportunities to improve business operations and productivity.
• Implement monitoring, observability, and performance management practices for production AI systems.
• Apply Agile and DevOps methodologies to support effective AI product delivery and continuous improvement.
• Develop and maintain documentation, standards, and operational procedures related to AI engineering capabilities.
• Support the advancement of enterprise AI literacy and responsible AI adoption across the organization.

Other Important Details About the Role

The incumbent must effectively communicate complex technical concepts and AI capabilities to both technical and non-technical stakeholders.

This position acts as a liaison between Manufacturing Operations, Supply Chain, Engineering, Quality, Corporate Functions, and IT to ensure AI initiatives are aligned with business priorities.

The role requires strong leadership and collaboration skills to influence organizational adoption of AI technologies and practices.

Direction is provided by the immediate supervisor and typically consists of strategic priorities, business objectives, enterprise architecture standards, governance requirements, and resource constraints.

The incumbent exercises significant independent judgmen