Full-Time Head of Artificial Intelligence
Sully.ai is hiring a remote Full-Time Head of Artificial Intelligence. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
Sully.ai
Job Title
Posted
Career Level
Career Level
Locations Accepted
Share
Job Details
About Us At Sully.ai, we're not just building AI – we're redefining the future of how healthcare is delivered. Our end-to-end solutions empower healthcare providers by automating doctors' administrative tasks, reducing misdiagnosis, and enhancing efficiency.
What You'll DoAs our Head of AI, you will lead the AI strategy, architecture, and development at Sully.ai, ensuring we deliver scalable, real-time AI solutions for healthcare workflows. You’ll work hands-on with LLMs, AI automation, and cloud infrastructure, setting the foundation for a rapidly growing product. This is a high-ownership, independent leadership role that requires a deep technical background and a bias for action, comfortable working in a high-growth, ambiguous startup environment where you'll wear multiple hats.
Responsibilities
- Own AI end-to-end – from research to production, ensuring a robust, scalable AI pipeline.
- Architect and optimize LLM integrations, ensuring efficiency and cost-effectiveness.
- Lead AI-driven automation efforts for EHR workflows, voice assistants, and decision support.
- Scale AI infrastructure, working closely with DupliCloud (DevOps/SecOps CI/CD) and cloud partners.
- Experiment with and fine-tune LLMs (Together.ai, OpenAI fine-tuning, LLaMA).
- Ensure AI and ML scalability, addressing our current platform bottlenecks.
- Hire and mentor AI engineers as we scale.
- Work closely with leadership to align AI capabilities with business strategy and revenue growth.
What You'll Bring
- Startup experience as a Founder, Co-Founder, CTO, or an early-stage technical hire
- Experience building end-to-end AI systems; designed, built, and deployed AI-powered products from scratch
- LLM expertise; hands-on with LLMs, fine-tuning, and AI/ML APIs (OpenAI, Together.ai, LLaMA, etc.)
- Backend & cloud infrastructure skills; e.g., Node.js, Python, Firestore DB, Google Cloud, and cloud-scale architectures
- Scalability & performance optimization with experience scaling AI platforms efficiently
- AI knowledge around healthcare and EHR systems a plus