Open role
[Remote] Head of Applied AI Engineering
Note: The job is a remote job and is open to candidates in USA. QUORE IT is recruiting for an unnamed healthcare AI company seeking a Head of Applied AI Engineering. The role will build and lead its forward-deployed engineering group, deliver production agentic AI and predictive models for enterprise healthcare clients, and lead strategic client engagements.
Responsibilities
- Spend about 75% of your time as a hands-on builder, setting the standard for how clients' forward-deployed engineers work
- Build agentic AI and LLM systems, such as voice agents and multimodal conversational systems for scheduling and routing, that plug into client enterprise systems
- Ship predictive "precision targeting" models on the client's 1.2 PB of proprietary data, for use cases like patient recruitment for Phase II/III drug trials
- Spend about 25% of your time leading the team: hiring, firing, motivating, and mentoring a fast-growing group of Applied AI Engineers
- Serve as the technical executive for strategic enterprise healthcare clients and support pre-sales and expansion deals
Skills
- Open to Visa transfer
- Experience delivering data-focused or data science solutions
- Backend development experience (Python, TypeScript, Node, Postgres, Redis, SQL)
- Executive presence and ability to command the boardroom
- 10+ years of experience as a hands-on IC and in engineering leadership/management roles
- Experience in early-stage or high-growth startup environments, specifically: Bootstrapped - VC-backed - PE-funded - 20-500 employees - Founding team
- Experience leading enterprise engagements and forward-deployed engineering (FDE) teams in high-stakes environments
- Experience building and operating production agentic AI systems (voice agents, multimodal, LangChain, LangGraph)
- 10+ years of experience
- Hands-on, entrepreneurial player-coach with executive presence
- 10+ years of hands-on engineering experience, including at least a couple of years managing people
- Strong data science and ML background, with experience putting AI/ML and agentic systems into production (Python, TypeScript/Node, LangChain/LangGraph, AWS)
- Entrepreneurial startup background, ideally with long tenure through a company's growth and exposure to scaling past $100M in revenue
- Executive presence and commercial skills: comfortable leading a boardroom while staying humble and low-ego
- Experience in healthcare, health systems, health insurance, life sciences, or pharmaceuticals
- Experience in healthcare, health insurance, health systems, life sciences, or pharma
Benefits
- Remote work with a flexible base
- Bonus
- Equity
Company Overview