# Head of AI

**Company:** [Function Health](https://hotfix.jobs/companies/function-health)
**Location:** Remote
**Role:** Engineering Management
**Experience:** 10+ years
**Skills:** Machine Learning, Deep Learning, Generative AI, Data Science, Knowledge Graphs, HIPAA, AWS, Azure, GCP, Multimodal Ai
**Posted:** 2026-04-27

> Leads AI strategy and roadmap for health tech company, managing research teams to apply advanced AI like generative models and knowledge graphs to healthcare challenges. Requires 10+ years expertise in ML/deep learning or 5+ with PhD, plus leadership in regulated environments.

## Job Description

## Key Responsibilities

**Strategic AI Leadership and Vision**
- Define and lead a visionary AI roadmap that drives innovation, integrates cutting-edge research into products, and fosters a culture of strategic problem-solving.

**Deep Research Orientation**
- Stay at the forefront of AI advancements, applying emerging techniques like generative AI and knowledge graphs to address challenges and integrate research into practical, impactful solutions.

**Team Development and Leadership**
- Mentor and guide a multidisciplinary AI team, fostering collaboration, innovation, and a focus on long-term, research-driven goals.

**Innovation and Technical Excellence**
- Lead efforts to ensure AI applications are innovative, trustworthy, and compliant with regulations, while shaping the organization's approach to sustainable AI development.

**Strategic Planning and Execution**
- Design and refine a long-term AI roadmap, anticipating market trends and identifying risks and opportunities to keep the company ahead in AI adoption.

**Cross-Functional Collaboration and Communication**
- Collaborate with senior leadership, product teams, and domain experts to align AI strategy with business and clinical priorities, effectively communicating strategic direction and research insights.

## Qualifications/Skills

**Expertise**
- Proven experience as a technical lead managing teams of researchers, data scientists, or engineers, with 10+ years of expertise in data science, deep learning, expert systems, generative AI, and machine learning; or 5+ years of experience with a relevant PhD.

**Problem-Solving & Innovation**
- Strong analytical skills with a proven ability to innovate and apply AI creatively to solve complex healthcare problems. Demonstrated expertise in staying ahead of AI trends and leveraging emerging tools to maintain industry leadership.

**Ethical Understanding**
- Commitment to developing responsible AI tools, particularly in healthcare, with a strong understanding of and willingness to implement regulations such as HIPAA and relevant data privacy laws.

**Leadership**
- Proven ability to drive vision and direction for AI teams, aligning goals with organizational objectives. Experienced in building and leading multidisciplinary teams while fostering a culture of innovation and collaboration.

**Communication and Teamwork**
- Proven ability to effectively communicate complex AI concepts to non-technical stakeholders, including executives. Strong collaboration skills with departments such as product development, regulatory affairs, and marketing to align AI solutions with company direction.

## Nice-to-Have Skills and Experiences
- Start-Up Experience: We highly value individuals with start-up experience, especially former founders or early engineering hires.
- Familiarity with Health Technologies: Knowledge of or experience with popular health technologies, such as Oura, Whoop, Apple Watch, and CGMs (Continuous Glucose Monitors).
- Multimodal AI Expertise: Knowledge of integrating diverse data types, such as imaging, genomics, text, and sensor data, into AI pipelines for comprehensive solutions.
- Cloud & Edge AI Deployment: Experience in deploying AI solutions on cloud platforms (e.g., AWS, Azure, Google Cloud) and/or edge devices.

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