AI Engineer

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 tomorrows 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

• 4 years of overall professional software engineering experience
• 2 years of hands-on experience/exposer developing AI/ML or generative AI applications includingProduction 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

• Bachelors degree in Business Computer Science Software Engineering Data Science Artificial Intelligence or a related technical field
• Masters 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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

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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 McKessons 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) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!