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 Sr. Associate AI Full stack Software Engineer to join our innovative team. This role will be responsible for designing, developing, and deploying end-to-end AI-powered software solutions, from front-end user interfaces to back-end services and AI model integration, within the healthcare domain.
Responsibilities
Develop and deliver AI-driven enterprise quality software applications.
Build scalable applications integrating Large Language Models and other AI tools (e.g. voice recognition, document parsing, image parsing, text to speech, RAG) into new and legacy codebases
Design and optimize data pipelines and datasets for AI system development and testing.
Communicate modern AI concepts (LLMs, vector databases etc.) to non-technical audiences
Iteratively craft effective prompts to maximize LLM performance and implement prompt caching strategies
Maintain prompt libraries & benchmark performance
Fine-tune & serve GPT-family, Llama
Develop AI agents Semantic Kernel
Prototype co-pilot experiences & autonomous workflows
Fully document all work at both the code level and application level.
The ability to learn and adapt in a changing environment.
Collaborate with other staff and outside stakeholders on large projects.
Must be passionate about creating solutions and solving complex problems.
Priority will be given to candidates who reside in the Columbus, OH metropolitan area.
We are unable to provide sponsorship for this role presently or in the future.
Minimum Qualifications
Minimum 2+ years of experience in Software development.
B.S. degree in Computer Science or related engineering discipline, or equivalent experience
Critical Skills
2+ years of experience developing AI-powered applications using LLMs, voice, image, or speech models
Experience with AI evaluation metrics (precision, recall, F1, AUC) and MLOps for scalable deployment
Proven ability to build RAG solutions using LangChain/LlamaIndex and vector databases
Strong experience with LLM optimization techniques (prompting, caching, cost awareness)
Proficiency in Python and AI/ML frameworks (OpenAI, TensorFlow, PyTorch)
Full-stack development experience, including Node.js (Express)
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with modern DevOps tools (Git, Docker, Kubernetes)
Strong analytical/problem-solving skills to derive insights from data
Preferred Skills
Deep understanding of LLM model landscape (e.g., GPT variants, emerging models)
Experience with advanced LLM cost optimization techniques (batching, quantization)
Experience using AI coding assistants (GitHub Copilot, Cursor, Codeium/Windsurf)
Healthcare domain experience and ability to translate clinical/business needs into AI solutions
Strong cross-functional communication skills across technical and non-technical stakeholders
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
$86,600 - $144,400
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.
McKesson job postings are posted on our career site: careers.mckesson.com.
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) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
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