Applied Artificial Intelligence Lead

All States Ag Parts, LLC.•Hudson, WI

About The Position

The Applied AI Lead owns the end-to-end delivery of AI capabilities that measurably improve revenue, margin, operational efficiency, customer experience, and scalability across the business. This is a business-first, execution-oriented role. Success is defined by production outcomes and repeatable delivery patterns, not by model sophistication, trend chasing, or standalone experimentation. The role exists to turn AI from isolated pilots into a durable, compounding capability embedded directly into core workflows and systems. This leader prototypes and validates quickly, then partners with engineering, data, IT, and security teams to harden, integrate, deploy, monitor, and continuously improve AI-enabled workflows inside existing platforms such as ERP, ASAP360, CRM, pricing systems, item management, and analytics. Over time, this role establishes the company’s AI delivery foundations, referred to here as the AI Ecosystem: the repeatable production foundations for AI delivery, including data access and governance, evaluation and testing, deployment and monitoring, and integration patterns, so successful use cases can scale safely and consistently across teams.

Requirements

Bachelor’s degree in a relevant field or equivalent work experience.
8+ years’ experience particularly within the agriculture and construction parts sectors, preferred.
Time Management - Effective time management skills to independently complete tasks with minimal disruption to company users.
Organization – Ability to prioritize multiple tasks and maintain a smooth work flow.
Teamwork – Ability to work closely with a variety of employees while maintaining a positive attitude.
Problem Solving – Identify and resolve problems in a timely manner.
Communication – Speak clearly and persuasively in positive or negative situations. Ability to ask detailed questions to comprehend requests.
Safety and Security – Follow safety policies/plans created by the company; utilize tools and equipment in a safe and proper manner.

Nice To Haves

Eight or more years in roles blending business operations, systems, analytics, product ownership, or engineering leadership.
Demonstrated experience taking AI or ML systems from concept to production with monitoring and iteration.
Hands-on ability to prototype and validate quickly, combined with the discipline to translate learnings into scalable architecture and standards.
Strong understanding of how enterprise systems connect, including ERP, CRM, pricing, item management, and analytics platforms.
Practical experience with AI tools, agents, and platforms in real business settings.
Strong financial and operational acumen with the ability to size impact and trade-offs quickly.
Comfortable operating within security, compliance, and governance requirements while influencing across engineering, data, IT, and business teams.
Proven ability to move decisively in ambiguous environments and adjust based on feedback and results.

Responsibilities

Identify, prioritize, and deliver high‑impact AI use cases aligned to measurable business outcomes; define success metrics and ROI upfront.
Select appropriate solution approaches (AI, ML, automation, or non‑AI) based on value, risk, feasibility, and long‑term maintainability.
Design, build, and evolve the company’s AI delivery foundations, including standards for data access, governance, security, and lifecycle management.
Establish repeatable delivery patterns, integration standards, and reusable templates to scale AI solutions across teams.
Partner with data, engineering, and business teams to ensure data readiness, production quality, and clear ownership of AI capabilities.
Lead AI initiatives from pilot through production, ensuring solutions integrate into core workflows with defined SLAs, monitoring, and iteration.
Ensure responsible, reliable, and cost‑effective AI operations by balancing speed with security, compliance, vendor risk, and technical debt management.
Enable adoption and change by coaching leaders and teams, translating between technical and business stakeholders, and supporting safe, independent exploration.
Performs all other duties as assigned.
Complies with the requirements of the company’s ISO 9001 Quality Management System (when required).