Full Stack Engineer, Sr. (AI-First)

About The Company 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. Our commitment to innovation and excellence has positioned us as a leader in the healthcare industry, enabling us to drive meaningful change and improve patient outcomes worldwide. 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. About The Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest-growing specialty pharmacy organizations. This role combines strong full stack engineering skills with Generative AI innovation to deliver production-grade applications powered by modern web technologies, REST APIs, cloud-native platforms, enterprise data and integrations, Large Language Models (LLMs), and AI agents. The position operates in a fast-paced healthcare environment where technology directly impacts patient, provider, and business outcomes. The engineer will be involved throughout the entire software lifecycle, from business discovery and system design to full stack application development, testing, cloud deployment, production support, and measurable adoption. It requires a hands-on builder with expertise in front-end, back-end, API, data, integration, and cloud engineering fundamentals, capable of applying AI as an additional capability and engineering accelerator. The successful candidate will translate ambiguous business problems into practical solutions, collaborate directly with stakeholders, and establish standards for secure, reliable, and scalable delivery across various healthcare platforms. Our team supports fast-paced specialty pharmacy operations, patient engagement, provider services, and critical healthcare workflows. Success in this role hinges on partnering closely with the business to validate solutions rapidly, transform prototypes into scalable production capabilities, and maintain accountability for adoption, reliability, and outcomes, ultimately contributing to improved patient care and business growth. Qualifications 7+ years of professional software engineering experience developing enterprise-scale applications.Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.Hands-on experience building and deploying applications using Java, Node.js, C#, Python, or comparable backend technologies.Experience developing modern front-end applications using React and TypeScript.Experience designing and consuming REST APIs, microservices, and enterprise integrations.Proficiency in developing cloud-native applications on Microsoft Azure.Experience with CI/CD pipelines, source control, automated testing, SDLC, and Agile methodologies.Experience acting as a technical lead or primary owner for enterprise applications, services, or platforms.Strong understanding of scalable architecture design, trade-off analysis, and production support.Ability to translate ambiguous business needs into effective technical solutions. Responsibilities Design, develop, and deploy AI-powered applications utilizing platforms such as Claude (Anthropic), Azure OpenAI, OpenAI, and Azure AI Services.Partner with business stakeholders to define problems, validate workflows, rapidly prototype solutions, and convert successful concepts into scalable production capabilities.Build RAG solutions, prompt frameworks, AI workflows, and autonomous or agentic systems with human-in-the-loop controls.Develop full stack applications using React, TypeScript, Python, C#, Java, Node.js, and .NET technologies.Design REST APIs, microservices, event-driven architectures, and enterprise integration patterns.Integrate AI capabilities with enterprise platforms such as ServiceNow, Salesforce, Snowflake, Databricks, and Power BI.Develop and deploy cloud-native solutions on Microsoft Azure following secure engineering and DevOps best practices.Build CI/CD pipelines, Infrastructure as Code, containerized workloads, and manage Kubernetes deployments.Serve as the technical owner for applications or platforms, establishing architecture standards, engineering guardrails, SLOs, and production-readiness criteria.Lead modernization efforts, address technical debt, improve system resiliency, conduct design reviews, resolve incidents, and implement root-cause prevention strategies.Mentor engineering team members and influence architecture, security, data, product, and delivery decisions across teams. Benefits Competitive salary aligned with experience and market standards.Comprehensive health, dental, and vision insurance plans.Retirement savings plans and long-term incentive opportunities.Paid time off, holidays, and flexible work arrangements.Opportunities for professional development and continuous learning.Inclusive and collaborative work environment fostering innovation and growth. Equal Opportunity McKesson is an Equal Opportunity Employer that values diversity and inclusion. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are committed to creating an inclusive environment where everyone can thrive. If you require a reasonable