AI Solutions Engineer IV

Autonomous Solutions • Logan, UT

7d • Onsite

About The Position

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. As an AI Solutions Engineer IV at ASI, you are responsible for setting the technical standards and methodology for automation and knowledge-capture programs across the organization. You own cross-functional initiatives spanning engineering, operations, and field teams, develop team capability, and report program-level impact to organizational leadership.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 10+ years of software development experience, including senior-level delivery of AI-powered automation or knowledge systems.
• Demonstrated experience setting technical standards and methodology for a team or program.
• Experience with cross-functional program ownership spanning engineering, operations, and field teams.
• Deep knowledge of automation platforms, knowledge-base architectures, and enterprise AI tool ecosystems.
• Track record of developing team capability and contributing to hiring and onboarding.
• Experience presenting program-level impact metrics to senior leadership.
• Experience building AI automation workflows.
• Experience building vector databases.
• Experience with Obsidian or similar knowledge-management systems.

Nice To Haves

• Experience building AI voice systems is a plus.
• Experience with OpenClaw is a plus.

Responsibilities

• Set standards for automation pilot methodology, knowledge-capture pipelines, and impact measurement across the team.
• Own cross-functional automation programs spanning engineering, operations, and field teams.
• Define the technical architecture for enterprise-scale knowledge-base and automation infrastructure.
• Lead adoption strategy for AI tooling with department heads and engineering leadership.
• Develop team capability by coaching AI Solutions Engineers I-III; contribute to hiring and onboarding.
• Evaluate emerging AI tools and platforms; lead adoption decisions and integration roadmaps.
• Report program-level impact including hours saved, adoption rates, and pipeline throughput to organizational leadership.
• Identify and resolve systemic blockers to automation and knowledge-capture adoption across departments.
• Build fully automated AI autonomous systems for all operations

What This Job Offers

• Job Type: Full-time
• Career Level: Senior