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# AI Solutions Engineer IV

- **Company:** Autonomous Solutions, Inc.
- **Location:** Logan, UT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, IP Pbx, Knowledge Management, Knowledge-Based Systems, Office Suite, Software Engineering, Information Technology, Workday
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=afbec985d6585cc6

## About the Role

* 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.
 * Experience building AI voice systems is a plus.
 * Experience with OpenClaw is a plus., * Ability to remain in a stationary position at a computer workstation constantly throughout the workday.
 * Ability to constantly operate a computer and other office productivity machinery.
 * Ability to effectively complete job responsibilities on computer monitors.
 * Ability to effectively communicate and exchange information in person, via phone, and through other electronic means.
 * Able to traverse an office environment.

## Description

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., * 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


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