Senior AI Full stack Software Engineer
Listed on 2026-06-02
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Senior AI Full Stack Software Engineer – CMM
McKesson is an impact-driven, Fortune 10 company dedicated to improving the quality and accessibility of healthcare. As a Senior AI Full Stack Software Engineer, you will design, develop, and deploy end-to-end AI‑powered solutions that enhance our healthcare and decision‑making platforms.
Key Responsibilities- Lead the design and deployment of AI applications that support decision‑making, patient engagement, and operational efficiency.
- Integrate AI into electronic health records (EHRs) and clinical systems, building scalable solutions that incorporate large language models, voice and image recognition, and document parsing.
- Develop and optimize secure, HIPAA‑compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data.
- Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC‑ROC) to ensure models meet regulatory and ethical standards.
- Mentor junior engineers and contribute to the strategic direction of AI initiatives within the organization.
- Rapidly prototype and iterate AI concepts in collaboration with product representatives.
- 10+ years of software engineering experience, with 4+ years in AI/ML development.
- B.S. degree in Computer Science or related engineering discipline, or equivalent experience.
- 2+ years of experience building AI solutions in healthcare or life sciences.
- Deep understanding of healthcare data standards (HL7, FHIR) and compliance frameworks (HIPAA, GDPR).
- Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization.
- Experience with retrieval‑augmented generation systems using tools such as Pydantic, Semantic Kernel, Lang Chain, Llama Index, and vector databases.
- Skill in creating custom AI agents or specification‑driven tools and in writing for systems like Claude, Copilot, Codex, etc.
- Advanced prompt engineering and optimization techniques (prompt tuning, caching, benchmarking).
- Full‑stack development proficiency in Python, Node.js, and modern web frameworks.
- Experience with secure cloud environments (AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
- Familiarity with OpenAI, Hugging Face, PyDantic AI, Tensor Flow, PyTorch, and healthcare‑specific AI libraries.
- Strong communication and leadership abilities to convey complex AI concepts to clinical and executive stakeholders and to lead cross‑functional teams.
- Experience mentoring and developing junior engineers in AI concepts and best practices.
Base Pay Range: $131,000 – $218,300.
Equal Opportunity EmployerMcKesson provides equal employment opportunities to 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. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers, including those with disabilities. If you need reasonable accommodation during your job search or application, please contact us at Disabili (U.S.) or (Canada).
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