The OpportunityWe are seeking a
Head of AI to lead the next phase of Autonomize's AI strategy, research, and execution. This is a high-impact leadership role responsible for turning emerging AI capabilities into reliable, scalable, production-grade systems that deliver real customer value.
You will own the AI roadmap, build and mentor a world-class AI team, drive technical excellence, and partner cross-functionally with Product, Engineering, Clinical, and Customer teams to ensure our AI solutions are trusted, impactful, and differentiated.
The ideal candidate is both a
deep technical expert and an exceptional operator - someone who can dive into model architecture one day, align teams around priorities the next, and personally drive critical initiatives across the finish line.
This is not a role for a passenger. We are looking for a driver who thrives in a scaling environment, takes full ownership, and wants to define the future of healthcare AI.
Key ResponsibilitiesAI Strategy & Technical Leadership- Own Autonomize's AI vision, strategy, and roadmap aligned to business and customer outcomes.
- Identify emerging AI opportunities and translate them into scalable product capabilities.
- Lead architecture decisions across machine learning, generative AI, LLM applications, retrieval systems, evaluation frameworks, and AI infrastructure.
- Establish technical standards for reliability, performance, safety, and scalability.
- Balance research velocity with production excellence.
Build & Scale the AI Organization- Recruit, mentor, and develop a high-performing AI team.
- Create an environment where engineers and researchers operate with ownership, curiosity, and urgency.
- Define team structure, operating rhythms, and technical excellence practices.
- Raise the bar through coaching, feedback, and hands-on technical leadership.
- Build a culture where people compound their impact and elevate the system around them.
Production AI Execution- Drive AI initiatives from concept through deployment and measurable customer impact.
- Own the full lifecycle: experimentation, evaluation, deployment, monitoring, and iteration.
- Develop frameworks to measure AI quality, accuracy, safety, and business impact.
- Partner with Engineering to build scalable AI platforms and infrastructure.
- Ensure AI systems operate reliably in complex healthcare environments.
Cross-Functional Collaboration- Partner closely with Product, Clinical, Customer Success, and Operations teams.
- Translate customer problems into AI solutions that create meaningful outcomes.
- Communicate complex technical concepts clearly to technical and non-technical stakeholders.
- Build trust through transparency, reliability, and consistent execution.
Customer-Centric Innovation- Stay deeply connected to customer workflows and healthcare challenges.
- Ensure AI solutions solve real-world problems, not just technical challenges.
- Champion responsible AI practices that prioritize trust, precision, and human impact.
Must-Have Qualifications- 10+ years of experience building and deploying AI/ML systems in high-growth technology environments.
- Proven experience leading AI/ML teams and scaling technical organizations.
- Deep expertise in modern AI approaches including:
- Large language models (LLMs)
- Retrieval augmented generation (RAG)
- Agentic workflows
- Model evaluation and optimization
- ML infrastructure and production systems
- Experience taking AI products from research/experimentation into production.
- Strong technical judgment with the ability to make architectural decisions.
- Demonstrated ability to operate effectively in ambiguity and high-growth environments.
- Exceptional communication skills with executives, engineers, customers, and cross-functional teams.
- Strong ownership mindset - you take responsibility from idea through impact.
Ideal Candidate ProfileYou are someone who:
- Owns the entire outcome - not just your functional area.
- Goes deep technically but knows when to zoom out and align teams.
- Moves quickly while maintaining high standards.
- Creates clarity in ambiguous environments.
- Builds systems, teams, and processes that scale.
- Challenges ideas respectfully and encourages open dialogue.
- Has relentless curiosity and continuously experiments.
- Understands that trust is earned through quality, reliability, and execution.
Bonus Points- Experience building AI products in healthcare, life sciences, or regulated industries.
- Experience with clinical AI, medical knowledge workflows, or enterprise AI adoption.
- Experience scaling AI teams from early stage through growth stage.
- Published research, patents, open-source contributions, or recognized technical leadership.
- Experience working directly with enterprise customers.
What We Offer- A chance to make a real impact on the future of healthcare.
- The opportunity to build category-defining AI products.
- Significant ownership and autonomy in shaping AI strategy.
- A high-growth environment with exceptional technical challenges.
- Competitive compensation package with performance incentives.
- 100% employer-paid health, vision, and dental insurance.
- Retirement plans (401k), disability insurance, and employee assistance programs.
How to ApplySend your resume and a brief cover letter to explaining why you are the right person to help build the future of healthcare AI.
