Director of Engineering Clinical AI

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. This position offers the flexibility to work remotely from anywhere within the U.S We are seeking an innovative and experienced Director of Engineering Clinical AI to lead our initiatives in developing and implementing advanced AI solutions that enhance decision-making and operational efficiency within the clinical environment. The ideal candidate will possess a strong background in artificial intelligence, machine learning, and software engineering, with a focus on creating agentic systems that can operate autonomously while aligning with clinical objectives and improving patient outcomes. Key Responsibilities: Leadership and Strategy: Develop and execute the strategic vision for clinical AI initiatives, ensuring alignment with organizational goals and clinical objectives. Drive the overall AI strategy and roadmap for clinical applications. Project Management: Oversee the planning, execution, and delivery of clinical AI projects, ensuring they are completed on time, within scope, and within budget. Establish best practices for project management across the clinical AI portfolio. Software Development: Lead the design and development of software solutions that incorporate clinical AI capabilities, ensuring they are robust, scalable, and maintainable. Champion the adoption of modern software development practices and tools tailored for clinical applications. Team Development: Build, mentor, and lead a high-performing team of AI engineers and software developers focused on clinical applications, fostering a culture of innovation, collaboration, and continuous improvement. Stakeholder Engagement: Collaborate with clinical leadership, healthcare professionals, and cross-functional teams to identify opportunities for AI integration in clinical workflows and gather requirements. Serve as the primary point of contact for clinical AI initiatives across the organization. Research and Development: Stay abreast of the latest advancements in clinical AI and machine learning technologies, evaluating their potential applications within the organization and integrating them into clinical software solutions. Promote a culture of research and innovation in clinical settings. Performance Monitoring: Establish metrics and KPIs to assess the effectiveness of clinical AI solutions, making data-driven decisions to optimize performance and drive continuous improvement in patient care. Compliance and Ethics: Ensure that all clinical AI initiatives adhere to ethical guidelines, regulatory requirements, and industry standards, promoting responsible AI usage within the clinical environment. Advocate for best practices in AI ethics and compliance in healthcare. Required Qualifications: Minimum of 10 years of experience in AI/ML project management or a related role, with at least 6 years in a leadership position within the healthcare sector. Proven track record of successfully managing clinical AI projects from conception to deployment at an organizational level. Technical Skills: Strong understanding of AI/ML algorithms, frameworks, and tools (e.g., TensorFlow, PyTorch, etc.) as they apply to clinical data. Proficiency in software development languages such as Python, Java, or C++. Extensive experience with software development methodologies and best practices, including version control and testing, specifically in clinical settings. Project Management Skills: Experience with project management methodologies (Agile, Scrum, etc.) at a strategic level. Strong organizational and multitasking abilities, with a focus on delivering results in a clinical context. Leadership Skills: Exceptional leadership and team management skills, with the ability to inspire and motivate a diverse team and drive organizational change in a clinical environment. Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to clinical leadership and non-technical stakeholders. Preferred Qualifications: Software Engineering Skills: Experience with software development methodologies (e.g., Agile, DevOps). Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Knowledge of microservices architecture and containerization (e.g., Docker, Kubernetes). Healthcare Clinical Data Understanding: Familiarity with Electronic Health Records (EHR) systems and clinical workflows. Understanding of clinical terminologies and coding systems (e.g., SNOMED, LOINC, ICD10). Experience with clinical data analytics and reporting tools. Education: Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; Master's degree or PhD preferred, with a focus on healthcare or clinical applications. Pay Range: The typical pay range for this role is: $144,200.00 - $288,400.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan . No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit We anticipate the application window for this opening will close on: 02/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr