Key skills
AI/ML DevelopmentHealthcare Data Standards - HL7Healthcare Data Standards - FHIRCompliance Frameworks - HIPAACompliance Frameworks - GDPRClinical NLPMedical ImagingPatient Risk StratificationCare PersonalizationRetrieval-Augmented Generation SystemsPydanticSemantic KernelLangChainLlamaIndexVector DatabasesCustom AI AgentsPrompt EngineeringPythonNode.jsModern Web FrameworksAIMLNLPOpenAIClaudePyTorchTensorFlowHugging FaceAWSAzureGCPKubernetesDockerCachingCI/CDMentoringPrototyping
About this role
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. They are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to design, develop, and deploy AI-powered solutions to enhance healthcare and decision-making platforms.
Responsibilities:
- Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency
- Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure
- Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results)
- Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards
- Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization
- Rapid AI prototyping and iteration with product representatives to vet multiple concepts
Requirements:
- 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 (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR)
- Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization
- Skilled in building retrieval-augmented generation systems using tools like Pydantic, Semantic Kernel, LangChain, LlamaIndex, and vector databases
- Experienced in creating custom AI agents or spec-driven tools
- Experience writing skills for Claude, Copilot, Codex etc
- Advanced techniques for prompt tuning, caching, and benchmarking
- 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, TensorFlow, PyTorch, and healthcare-specific AI libraries
- Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams
- Experience mentoring and developing juniors in development an AI concepts/best practices