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.
About the Role:
The Senior Specialist Agentic AI Engineering designs builds deploys and supports enterprise-scale AI agents and intelligent automation solutions that solve complex business challenges. This role partners across product architecture security data operations governance and business teams to deliver secure scalable and production-ready AI capabilities.
As a senior individual contributor you will lead the development of AI-driven solutions that reason across enterprise data orchestrate workflows integrate with enterprise applications and drive measurable business outcomes.
What Youll Do:
- Design build and deploy enterprise-scale AI agents and intelligent automation solutions that address complex business challenges.
- Develop agentic workflows that reason across enterprise data orchestrate multi-step processes and take governed actions.
- Integrate agents with enterprise applications APIs and data platforms (for example SAP ServiceNow and Microsoft 365) using secure reusable patterns.
- Build reusable skills tools and connectors (including MCP-based integrations) and contribute them to a centralized agent catalog.
- Partner with product architecture security data operations and business teams to translate business needs into production-ready AI capabilities.
- Implement observability evaluation and monitoring so agent quality reliability cost and business impact are measurable.
- Apply responsible AI security and governance standards including architecture and risk review requirements before release.
- Provide post-production support including incident and ticket resolution root-cause analysis and continuous improvement.
- Document solutions share engineering best practices and mentor peers on agentic AI development.
Basic Requirements:
- Bachelors degree in computer science Engineering or a related field or equivalent practical experience.
- 5 years of software engineering experience including 1 years building production solutions with LLMs or AI agents.
- Proficiency in Python and/or TypeScript with experience building APIs and services.
- Experience with cloud AI platforms such as Azure AI Foundry Azure OpenAI or equivalent.
- Familiarity with CI/CD DevOps practices and production support models.
- Strong communication skills and the ability to explain technical solutions to business and leadership audiences.
Preferred Skills/Experience:
- Experience building Level 2 task agents or Level 3 orchestration/domain agents in enterprise environments.
- Experience with Azure AI Foundry Copilot Studio Power Platform Azure OpenAI or equivalent AI platforms.
- Experience with Retrieval-Augmented Generation (RAG) vector databases embeddings semantic search and knowledge grounding.
- Experience with AgentOps LLMOps MLOps telemetry pipelines monitoring dashboards and AI cost optimization practices.
- Knowledge of Responsible AI privacy governance cybersecurity audit readiness and risk-control frameworks.
- Experience supporting enterprise platforms such as SAP Salesforce ServiceNow Workday Microsoft 365 Teams SharePoint or Azure-hosted applications.
- Experience working within Agile product delivery teams from discovery through production support.
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 advantages at McKesson pleaseclick here.
Our Base Pay Range for this position
$99100 - $132100
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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 Chance 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.