Senior AI Full stack Software Engineer

McKesson; Columbus (OH); On-site; USD 131,000 - 218,300; Full time

Job summary

Join McKesson as a Senior AI Full Stack Software Engineer to develop AI solutions that enhance healthcare services. In this role, you'll lead the design and implementation of AI-driven applications, ensuring compliance with healthcare standards.

With 10+ years of experience required, including expertise in AI modeling and data standards, this role offers significant responsibilities in mentorship and AI strategy. The compensation range is competitive, reflecting McKesson's commitment to valuing its employees.

Qualifications

• 10+ years of software engineering experience, with 4+ years in AI/ML development.
• Deep understanding of healthcare AI compliance frameworks (e.g., HIPAA, GDPR).

Responsibilities

• Design and deploy AI applications that support decision‑making.
• Build scalable systems that incorporate AI technologies into healthcare IT.
• Ensure secure, HIPAA‑compliant data pipelines for AI model deployment.

Skills

Building AI solutions in healthcare

Healthcare data standards (HL7, FHIR)

AI models for clinical NLP

Proficiency in Python

Proficiency in Node.js

Education

B.S. degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS/GCP/Azure

Job description

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. Here, we focus on the health, happiness, and well‑being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

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 such as 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.

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, 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.

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 click here.

Our Base Pay Range for this position

$131,000 - $218,300

McKesson is an Equal Opportunity Employer

McKesson 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. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [e-mail] or (Canada) [e-mail]. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!