IT Manager - AI Solutions Engineering - Brownsville, WI (Open for non local candidates as well)

Job Responsibilities

Below is an opportunity that you might be interested in.

Job Title: IT Manager - AI Solutions Engineering

Location: Brownsville, WI

Employment Type: Permanent

Must-Have Skills

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent hands-on experience
• 7+ years in software engineering, technical product management, solutions engineering, applied AI, or relevant disciplines
• 3+ years leading technical teams with accountability for hiring, coaching, and delivery
• Hands-on experience building and governing AI solutions on the Microsoft Azure and Copilot ecosystem, or similar technologies
• Demonstrated ability to translate business problems into practical solutions with measurable outcomes, and to drive AI adoption, enablement, and responsible cost management across a large organization
• Strong communication and influencing skills across executive, business, and technical audiences, partnering as a credible peer
• Legally eligible to work in the United States

Nice-to-Have Skills

• Thrive in fast-paced environments under tight deadlines
• Enjoy collaborating and communicating with teammates and cross-functional stakeholders
• Take ownership and value delivering high-quality work
• Strong time management, verbal, and written communication skills

Description

• The IT Manager of AI Solutions Engineering will help define and execute an enterprise AI strategy, leading the team responsible for delivering scalable, adopted AI capabilities.
• As a founding leader on the Enterprise Intelligence team, this role will establish standards, frameworks, and reusable solutions that enable the organization to translate AI investments into measurable business value.
• Combining strategic leadership, governance, and technical expertise, this position partners across business and IT teams to drive AI adoption, improve productivity and operations, and ensure responsible, long-term scalability.

Key Responsibilities:

• Translate AI direction and emerging capabilities into a prioritized roadmap, working closely with users to understand how they work and where AI creates genuine business leverage.
• Recruit, hire, and develop founding talent, establishing the roles, standards, and operating practices needed to grow AI capability responsibly.
• Steward the enterprise AI program across its lifecycle, with accountability for adoption, cost, safety, and measurable value of the solutions delivered, with clear visibility into how AI is being used across the organization.
• Guide the delivery of practical AI solutions that solve meaningful operational problems for the business.
• Enable the organization to build and use AI confidently and safely through reusable patterns, guardrails, education, and community programs that grow enterprise AI fluency.
• Partner with data, platform, security, architecture, and governance teams to ensure AI solutions are secure, scalable, and grounded in trusted information.