AI Lead - Product Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Define and execute a cutting-edge AI roadmap, lead advanced research initiatives, and shape the future of health technology. Collaborate with senior leadership and cross-functional teams, mentor a world-class AI team, apply emerging techniques to solve complex healthcare challenges, and drive innovation, technical excellence, and regulatory compliance to deliver impactful solutions in healthcare.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

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.
•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.

Key Requirements

•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; stay ahead of AI trends and leverage emerging tools to maintain industry leadership.
•Ethical Understanding: Commitment to developing responsible AI tools 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: Ability to effectively communicate complex AI concepts to non-technical stakeholders, including executives; strong collaboration with product, regulatory affairs, and marketing to align AI solutions with company direction.

Experience:HealthcareAIHealthtechHealth technologyHealthcare analytics

Skills:LeadershipCommunicationCollaborationProblem-solvingStrategic thinking

Tech Stack:Generative AIDeep learningMachine learningKnowledge graphsData science

Company Brief

Function Health

Function Health develops digital health solutions to support chronic disease management, delivering personalized care pathways, remote monitoring, and patient engagement tools to improve outcomes and reduce healthcare costs for people with long-term conditions.

Industry: HealthTech

Website

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Function Health

3 months ago

AI Lead - Product Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

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.
•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.

Key Requirements

•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; stay ahead of AI trends and leverage emerging tools to maintain industry leadership.
•Ethical Understanding: Commitment to developing responsible AI tools 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: Ability to effectively communicate complex AI concepts to non-technical stakeholders, including executives; strong collaboration with product, regulatory affairs, and marketing to align AI solutions with company direction.

Experience:HealthcareAIHealthtechHealth technologyHealthcare analytics

Skills:LeadershipCommunicationCollaborationProblem-solvingStrategic thinking

Tech Stack:Generative AIDeep learningMachine learningKnowledge graphsData science

Company Brief

Function Health

Industry: HealthTech

Website