AI Solutions Engineer III

Autonomous SolutionsLehi, UT
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 III at ASI, you are responsible for leading discovery-to-adoption engagements across multiple departments, architecting knowledge-capture and automation systems, and mentoring junior engineers. You define pilot scope, success metrics, and adoption plans, and serve as a senior technical authority on AI-powered workflow and knowledge systems at ASI.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of software development experience with fluency in modern AI development tools.
  • Proven track record delivering automation or knowledge-capture systems from discovery through production.
  • Experience building capture, transcription, and structuring pipelines using speech-to-text, large language models (LLMs), or similar tooling.
  • Ability to lead discovery engagements and adoption planning with engineering and operations stakeholders.
  • Experience producing engineering-ready requirements from unstructured field knowledge.
  • Active mentorship of junior engineers in a professional setting.
  • Experience building AI automation workflows.

Nice To Haves

  • 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.

Responsibilities

  • Lead discovery-to-adoption engagements across multiple departments simultaneously.
  • Define pilot scope, success metrics, and adoption plans for automation and knowledge-capture projects.
  • Architect and own the full capture, transcription, structuring, and edge-case taxonomy pipeline for field knowledge systems.
  • Drive engineering-workflow automation and communications-triage programs from prototype through production handoff.
  • Produce engineering-ready requirements documents and queryable knowledge bases consumed directly by engineering teams.
  • Mentor AI Solutions Engineers I and II on discovery methods, pipeline design, and stakeholder engagement.
  • Present pilot findings and adoption results to department leads and engineering leadership.
  • Evaluate and integrate speech-to-text, large language model (LLM), and data-structuring tooling into production pipelines.
  • Build fully automated AI autonomous systems for all operations.
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