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.
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 You?ll 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:
- Bachelor\'s 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 developing reusable frameworks, prompts, connectors, skills, templates, and platform standards.
- 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 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
Our Base Pay Range for this position
$99,100 - $132,100
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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
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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 McKesson?s full Equal Employment Opportunity policies, visit our 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.
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