AI Solutions Engineer IV

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.

Qualifications

• 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.