applicantpro
AI Solutions Engineer III
Autonomous Solutions
Lehi, USA
Full-time
Senior · 5+ years experience
Hybrid
Discovered 1 weeks ago
speech-to-textLarge language model (LLM)vector databasesObsidianOpenClaw
Free
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speech-to-textLarge language model (LLM)vector databases
Key Skills for This Role
speech-to-textLarge language model (LLM)vector databasesObsidianOpenClaw
Full Job Posting
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.
Qualifications
- 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.
- Experience building vector databases.
- Experience with Obsidian or similar knowledge-management systems.
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