Senior Director, Software Engineering - AI ML Engineering

We’re looking for a hands-on technical leader to architect, fine-tune, and deploy on-device small language models (SLMs) for consumer security at scale. You’ll lead a focused team of 3–5 senior engineers while remaining deeply involved in the code and technical architecture.

Your core responsibility is building high-performance, privacy-preserving AI models that run directly on user devices (Mac, iOS, Android, Linux). You’ll own model optimization, fine-tuning for tool-use accuracy, evaluation frameworks, and cost-aware deployment strategies. While you won’t own the agent orchestration platform itself, you’ll work closely with it to ensure models behave correctly in multi-turn conversations and make reliable tool-calling decisions.

This role sits at the intersection of edge ML, applied LLMs, and production engineering. Success requires navigating real-world tradeoffs: latency vs. capability, privacy vs. accuracy, on-device vs. cloud execution, and cost vs. performance.

This is not a traditional director role. You’ll spend 60%+ of your time on technical architecture and implementation, with the remainder focused on mentoring senior engineers and setting technical direction.

This is a Hybrid remote position located in a hub location of Frisco, TX or San Jose, CA. You will be required to be onsite on an as-needed basis, typically 1-4 days per month. We are only considering candidates within a commutable distance to this location and are not offering relocation assistance at this time.