Senior AI Full stack Software Engineer

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