- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Skills Required
- 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 large language models, retrieval-augmented generation, agentic workflows, model evaluation and optimization, and ML infrastructure
- Experience taking AI products from research or experimentation into production
- Strong technical judgment and ability to make architectural decisions
- Ability to operate effectively in ambiguous, high-growth environments
- Exceptional communication skills with executives, engineers, customers, and cross-functional teams
- Strong ownership mindset and ability to drive initiatives from idea through impact
- 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 Do
Autonomize AI Agents & Copilots organize, contextualize and summarize unstructured data to reduce the administrative burden for healthcare knowledge workers to make data-driven decisions and improve patient outcomes. Our customers include health plans, providers and life sciences companies. Unlike generic AI systems retrofitted for healthcare, Autonomize deeply understands medical contexts, terminologies, and operational nuances. Our healthcare-focused AI Agents & Copilots augment knowledge work, drastically reducing administrative burden. Care management teams spend 78% less time per case, achieving an impressive 85% boost in case review efficiency. Prior authorization processes that traditionally take 20-30 minutes shrink to mere seconds, accompanied by an 80% reduction in manual errors, saving millions of dollars annually. Our AI Agents turn chaotic, unstructured healthcare data—clinical notes, PDFs, faxes, and claims—into structured, contextual information that informs decisions and actions. This has driven substantial real-world impact: organizations using Autonomize experience a 92% reduction in manual effort for care gaps and HEDIS chart reviews, dramatically improving compliance and STAR ratings. Autonomize AI is purpose-built for healthcare, transforming healthcare operations one workflow at a time through AI-native solutions that deliver immediate, scalable impact.









