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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.

Key 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

Minimum Qualifications

• 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

Critical Skills

• 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 likePydantic, 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.

Preferred Skills

• Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.

• AI Tooling: Familiarity with OpenAI, Hugging Face,PyDanticAI, 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.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please

Our Base Pay Range for this position

$131,000 - $218,300

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

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