About the job
We are seeking a dynamic and visionary Sr Director of AI/ML Engineering to lead the development and execution of a transformative AI strategy within the healthcare sector. This role blends strategic leadership with deep technical expertise, requiring hands-on involvement in designing and deploying advanced AI and machine learning solutions that drive clinical and operational excellence. You will spearhead innovation through cutting-edge research, establish ethical AI governance, and ensure scalable, reliable integration of AI technologies across complex healthcare systems. Collaborating with cross-functional leaders, you will translate critical healthcare challenges into impactful AI initiatives, while mentoring top talent and presenting strategic insights to executive leadership. This is a unique opportunity to shape the future of AI in healthcare and improve outcomes at scale.
Responsibilities
Develop and execute org-wide AI strategy and roadmap aligned with business objectives and growth initiatives Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Establish AI governance frameworks, ethical guidelines, and best practices across the organization Personally design, develop, and implement AI and machine learning models using statistical analysis and deep learning algorithms Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Spearhead integration of AI solutions with existing systems and applications Establish KPIs and performance metrics for AI solutions and drive continuous improvement Present AI vision, roadmaps, and results to executive leadership and board members Lead research initiatives and partnerships to maintain competitive advantage in AI capabilities Mentor, develop, and retain top AI talent while building a culture of innovation
Qualifications
Minimum
Master's degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field15+ years of experience in AI/ML with demonstrable career progression from individual contributor to technical leadership roles Hands-on experience with machine learning libraries and frameworks Current and extensive hands-on experience with modern AI tools, frameworks, and methodologies Experience with data analysis tools and techniques Experience implementing machine learning fairness and bias mitigation techniques Public cloud experience (Azure, and/or GCP, and/or AWS) Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles Proven track record of hands-on development and implementation of enterprise-scale AI SaaS solutions with measurable business impact Demonstrated ability to balance strategic leadership with hands-on technical contribution Demonstrated solid and current programming skills in Python or other relevant programming languages Proven ability to build and scale AI infrastructure and operations
Preferred
PhD or Master's degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field Active practitioner with current, deep technical expertise in AI technologies and applications; Natural Language Processing (NLP) and/or Large Language Models (LLM) Healthcare experience and FinTech solutionsProven exceptional leadership, communication, and executive presence skills