CDR Division Architect – Software Engineering (AI and Interoperability in Healthcare)

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.

Position Summary

We are seeking a highly skilled and experienced CDR Division Architect – Software Engineering (AI and Interoperability in Healthcare) to lead the architectural vision and strategy for our organization’s AI initiatives, focusing on interoperability and clinical knowledge within the healthcare domain. The ideal candidate will have a deep understanding of healthcare systems, AI technologies, and interoperability standards, enabling them to design and implement solutions that enhance patient care, streamline operations, and ensure compliance with industry regulations.

We are seeking a highly skilled and experienced CDR Division Architect - AI and Interoperability in Healthcare to lead the architectural vision and strategy for our organization’s AI initiatives, focusing on interoperability, clinical knowledge, and software engineering within the healthcare domain. The ideal candidate will have a deep understanding of healthcare systems, AI technologies, interoperability standards, and software engineering principles, enabling them to design and implement robust solutions that enhance patient care, streamline operations, and ensure compliance with industry regulations.

Key Responsibilities

• Software Architecture Design: Develop and maintain software architecture designs that support scalable, maintainable, and high-performance AI and interoperability solutions, ensuring that architectural decisions align with best practices and industry standards.
• Technical Leadership: Provide technical guidance and mentorship to software engineering teams, fostering a culture of innovation and excellence in software development practices.
• Integration Architecture: Design integration patterns and frameworks that enable seamless communication between various healthcare applications, databases, and external systems, ensuring data integrity and security.
• Architectural Leadership: Define and drive the architectural vision for AI and interoperability solutions within the healthcare division, ensuring alignment with organizational goals and clinical objectives.
• AI Strategy Development: Collaborate with executive leadership to develop a comprehensive AI strategy that leverages advanced technologies to improve clinical outcomes, operational efficiency, and patient engagement.
• Interoperability Framework: Design and implement interoperability frameworks that facilitate seamless data exchange between disparate healthcare systems, ensuring compliance with standards such as HL7 and FHIR API’s.
• Clinical Knowledge Integration: Lead efforts to integrate clinical knowledge and best practices into AI solutions, ensuring that systems are designed to support clinical decision-making and enhance patient care.
• Stakeholder Engagement: Collaborate with cross-functional teams, including IT, clinical staff, and business units, to gather requirements, identify opportunities for AI and interoperability integration, and ensure stakeholder alignment.
• Research and Development: Stay current with advancements in AI, interoperability standards, and healthcare technologies, evaluating their potential applications within the organization and driving innovation.
• Performance Monitoring: Establish metrics and KPIs to assess the effectiveness of AI and interoperability solutions, making data-driven decisions to optimize performance and drive continuous improvement.
• Compliance and Governance: Ensure that all architectural initiatives adhere to regulatory requirements, ethical guidelines, and industry standards, promoting responsible AI usage and data governance within the healthcare environment.
• Technology Evaluation: Assess and recommend appropriate technologies, tools, and platforms that align with the architectural vision and support the software development of AI and interoperability solutions.
• Documentation and Standards: Create and maintain comprehensive architectural documentation, including design specifications, architectural diagrams, and coding standards, to ensure clarity and consistency across development teams.
• Collaboration with DevOps: Work closely with DevOps teams to implement CI/CD pipelines, automate testing, and ensure that deployment pro