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 an experienced AI Developer/Engineer (Level 3) to design, develop, and deploy enterprise-grade generative AI solutions. This role requires deep expertise in modern AI application frameworks, cloud platforms, and the ability to work independently while collaborating across cross-functional teams. The ideal candidate will drive AI initiatives from concept through production, ensuring solutions meet security, compliance, and performance standards.

Key Responsibilities

Design, develop, and maintain generative AI applications utilizing RAG architectures, agentic workflows, and modern orchestration patterns
Architect and implement solutions using Azure and GCP services, including Vertex AI, Agent Builder, ADK, and Gemini foundation models
Build and optimize embedding pipelines and vector retrieval systems using best practices for semantic search and knowledge retrieval
Develop and integrate applications with enterprise orchestration platforms such as Salesforce AgentForce, Microsoft Copilot, and Snowflake Cortex AI
Lead AI projects through the complete software development lifecycle (SDLC), from requirements gathering to production deployment and monitoring
Design and implement prompt engineering strategies, including prompt versioning, management, and optimization for production systems
Implement LLM evaluation frameworks to measure response quality, accuracy, and relevance across AI applications
Implement AI observability mechanisms, define key performance indicators (KPIs), and establish monitoring dashboards for model performance and application health
Monitor and optimize LLM API costs and token usage to ensure cost-effective operation at scale
Ensure all AI solutions comply with enterprise security, privacy, and regulatory requirements
Collaborate with data engineering, platform, and business teams to deliver integrated AI solutions that meet organizational objectives
Provide technical guidance and mentorship to junior team members on AI development best practices
Evaluate emerging AI technologies and recommend adoption strategies aligned with business goals

Experience

5+ years of overall professional software engineering experience
3+ years of hands-on experience developing AI/ML or generative AI applications, including Production deployment of GenAI solutions (e.g., RAG, agentic workflows) End-to-end SDLC ownership in enterprise environments
Demonstrated experience operating AI systems in secure, regulated, enterprise-scale environments

Education

Bachelor’s degree in Business, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field,
Master’s degree in a related field preferred
An equivalent combination of education, training, and relevant hands-on experience may be considered

Certifications (Preferred Not Required)

Google Cloud – Professional Machine Learning Engineer
Google Cloud Generative AI Engineer (or equivalent GenAI specialization)
Google Cloud – Professional Cloud Architect
Microsoft Certified: Azure AI Engineer Associate

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

$104,600 - $174,400

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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