Job Openings Head of AI Engineering

About the job Head of AI Engineering

Head of AI Engineering
Location: Austin, TX (On-site)
Compensation: $300-400,000 base + 100% covered benefits for employee & dependents
Employment Type: Full-time, Permanent
Relocation: Yes

Who are we?

Were a mission-driven Series B health tech company pioneering the next frontier in AI-powered care. With a proven track record in clinical AI and a pivot toward consumer-facing digital health, were building a category-defining platform that helps individuals get answers to complex health concerns when traditional systems fall short. Backed by $34M+ in funding and recognized nationally for excellence, our platform is designed to serve patients, providers, and care teams with personalized, AI-driven guidance.

Our team is small but mighty (~30 people), agile by nature, and deeply collaborative across engineering, product, and design. Were committed to innovation, transparency, and responsible AI development in healthcare.

What's in it for you?

  • Executive-level ownership over all things AI, with real impact on health outcomes

  • Build and lead a high-performing AI team working on LLMs, RAG, and personalized recommendations

  • Full medical, dental, and vision coverage for you and your dependents

  • Generous relocation assistance to Austin

  • Culture of experimentation, high autonomy, and daily collaboration with product and executive leadership

  • Work at the intersection of meaningful mission and deep technical challenge

  • Join a company with a track record of innovation and real traction, named Best in Class multiple years running

What will you do?

  • Define and execute the AI roadmap in alignment with product vision and company strategy

  • Lead the development of conversational AI systems that serve both patients and care teams

  • Enhance LLM Ops, evaluation systems, and model safety pipelines

  • Leverage Retrieval-Augmented Generation (RAG), fine-tuning, and RLHF to evolve our models

  • Drive cost-effective deployment strategies for LLMs

  • Recruit, mentor, and retain top-tier talent in AI, ML, and prompt engineering

  • Act as a strategic partner to product, engineering, and the C-suite

  • Represent the company in innovation discussions with healthcare stakeholders, clinicians, and tech partners

What will you need?

Required Experience:

  • 8+ years of Python programming in AI/ML environments

  • 5+ years of NLP-focused development

  • 3+ years in a leadership role (Sr. Manager, Director, or above)

  • Proven track record developing and deploying production-scale AI systems

  • Deep experience with LLM frameworks and production deployment

  • Strategic thinking and roadmap creation at the leadership level

  • Strong commitment to ethical, safe AI especially in regulated domains like healthcare

  • Ability to manage ambiguity and thrive in a high-velocity environment

  • Advanced degree in Computer Science, Engineering, or related field

Bonus Experience:

  • Clinical or healthcare AI experience (e.g., risk stratification, patient engagement, NLP)

  • Familiarity with front-end integration of AI systems (React preferred)

  • AWS ML stack or Life Sciences Cloud experience

  • Experience working with diverse health data APIs (e.g., Apple HealthKit)

What makes you a match?

Were looking for an outlier technical leader who is both visionary and hands-on. You've probably written the algorithms, led the teams, and built apps that had real impact. Now you're ready to lead an AI organization that's transforming health outcomes. You're comfortable in ambiguity, thrive on iteration, and have a bias toward action and experimentation. You can guide a team of builders while helping shape strategic conversations at the exec level.

This is your chance to shape the future of AI in healthcare not just improving systems, but changing lives. If you're ready to lead, build, and scale with purpose wed love to hear from you.