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Role Description
This role involves driving the design, development, and integration of state-of-the-art AI solutions into healthcare products as an applied science leader.
• Collaborate with stakeholders across product and engineering to shape the Healthcare AI roadmap
• Deliver value to customers and partners
• Attract top talent and support talent development within the team
• Lead by example in identifying and nurturing talent
• Engage in regular career development discussions
• Offer strategic guidance to support the professional growth of each team member
• Promote excellence and ensure access to opportunities for advancement
• Advocate for OHAI values to instill a sense of purpose and commitment throughout the team
Qualifications
• PhD or Master’s degree in computer science, electrical engineering, physics or related technical field with focus on machine learning and artificial intelligence
• A minimum of 5 years of people management experience
• Proven experience leading applied science teams in AI/ML and product development
• Strong background in recruiting, developing, and leading senior individual contributors (ICs) and building high-performing teams
• Proven track record in delivering large-scale AI/ML products
• Deep technical expertise in machine learning systems, GenAI/LLM model architectures, development/deployment of AI agents, and recommendation & ranking systems at enterprise scale
• Demonstrated track record of delivering complex, high-impact features or products from concept to customer adoption and operational stability
• Strong business acumen with the ability to balance strategic technical vision with operational execution and customer needs
• Exceptional communication and stakeholder management skills, with the ability to influence at all levels including with enterprise customers
• Experience driving end-to-end applied science solutions in partnership with cross-functional teams, including engineering, and customer-facing roles
• 10+ years of applied science or technical leadership experience, with significant recent leadership in AI, ML, recommendation systems
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