AI Integration Architect - Healthcare Provider Solutions

McKesson

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. AI Integration Architect – Healthcare Provider Solutions We are seeking a forward-thinking technology leader to serve as our AI Integration Architect for healthcare provider solutions. This individual contributor role will champion the adoption and implementation of artificial intelligence throughout our software development lifecycle (SDLC) while ensuring our healthcare solutions leverage AI capabilities to improve patient outcomes, provider efficiency, and operational excellence.

Requirements

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor's degree in Computer Science, Healthcare Informatics, or related field; advanced degree preferred.
Software Architecture Expertise: Proven experience designing high-performing, scalable, and secure data-driven web applications.
Strong understanding of cloud-native technologies, microservices, security principles, event-driven architecture, and software design patterns.
3+ years of experience in healthcare software development or product management.
Demonstrated understanding of modern AI technologies including machine learning, natural language processing, and predictive analytics, with at least 1 year of hands-on experience implementing solutions that incorporate these technologies.
Experience implementing AI solutions within regulated environments, particularly healthcare.
Knowledge of healthcare data structures, standards (HL7, FHIR), and regulations (HIPAA, HITECH).
Proven ability to translate complex technical concepts for non-technical stakeholders.
Strong project management and cross-functional leadership skills.
Experience with agile development methodologies and DevOps practices.

Nice To Haves

Experience with healthcare provider workflows and pain points.
Familiarity with clinical decision support systems and healthcare analytics.
Knowledge of responsible AI principles including bias mitigation, explainability, and fairness.
Background in healthcare interoperability and systems integration.
Certification in healthcare information systems or AI/ML technologies.

Responsibilities

Develop and execute a strategic roadmap for AI integration across our healthcare provider solutions portfolio.
Advocate for responsible AI adoption throughout the SDLC, from requirements gathering to deployment and maintenance.
Bridge the gap between clinical subject matter experts and technical teams to identify high-value AI use cases.
Evaluate and recommend AI tools and frameworks that align with healthcare compliance requirements.
Lead proof-of-concept initiatives to demonstrate AI's value in addressing healthcare challenges.
Establish best practices and governance structures for AI implementation in healthcare software.
Collaborate with product teams to identify opportunities for AI enhancement in existing applications.
Develop metrics to measure the impact of AI on product quality, development efficiency, and clinical outcomes.
Train and mentor development teams on AI integration techniques specific to healthcare applications.

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