Senior AI Full stack Software Engineer

McKesson•Atlanta, GA

5d•$131,000 - $218,300

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. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms.

Requirements

10+ years of software engineering experience, with 4+ years in AI/ML development preferred.
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).
Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization.
LLM & RAG Systems: 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.
Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking.
Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks.

Nice To Haves

Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch, and healthcare-specific AI libraries.
Communication & Leadership: 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.

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