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McKesson

Supplies medicines and technology to healthcare teams

Senior Agentic Systems / AI Ops Admin

Enterprise ApplicationsPosted on Nov 9
Full-timeMississauga, ON, CanadaHybrid

About the Job

Requirements

  • Bachelor's degree in computer science, Information Systems, Engineering, or equivalent practical experience.
  • 5+ years of experience in platform administration, DevOps, cloud operations, or AI/ML operations, with recent hands-on exposure to agentic AI or generative AI solutions.
  • Working knowledge of cloud AI platforms such as Azure AI Foundry, Microsoft Copilot ecosystem, and related services.
  • Experience with APIs, identity and access management, and secure integration of enterprise applications and data.
  • Familiarity with LLM concepts: prompts, retrieval-augmented generation, tool calling, agent orchestration, and evaluation.
  • Experience with incident, problem, and change management processes in a production environment.
  • Understanding of security, privacy, compliance, and responsible AI principles.
  • Strong communication skills, with the ability to explain technical topics to business and leadership audiences.

Responsibilities

  • Configure, administer, and maintain enterprise agentic AI platforms, including AgentHub, agent runtimes, model endpoints, and supporting cloud services.
  • Support the design, deployment, versioning, and retirement of AI agents, skills, MCP servers, and workflows across business units.
  • Enable agents to securely use approved tools, APIs, and governed enterprise data sources, and integrate with business applications such as SAP, Power Apps, and Microsoft 365.
  • Implement and maintain telemetry, logging, evaluation, and alerting to track agent performance, reliability, quality, and usage.
  • Triage and resolve incidents and tickets, perform root cause analysis, and manage releases, change requests, and post-production support.
  • Apply access controls, privacy, security, and responsible AI guardrails; support architecture and governance review boards and audit requirements.
  • Partner with AI FinOps and Cloud FinOps teams to monitor consumption, optimize spend, and forecast capacity.
  • Onboard teams, document standards and best practices, and reduce setup friction so business teams can realize value faster.
  • Work with engineering, architecture, security, data, product, and business stakeholders to translate use cases into reliable, production-ready AI capabilities.

Desired Qualifications

  • Experience with Model Context Protocol (MCP), agent frameworks, and agent discovery or registry models.
  • Experience with Python, PowerShell, or scripting for automation and infrastructure-as-code.
  • Exposure to SAP S/4HANA Fiori, Power Platform, or other enterprise business applications.
  • Knowledge of AI FinOps practices, including usage-based cost tracking and budget reporting.
  • Experience in healthcare, pharmaceutical, or other regulated industries.
  • Relevant certifications in Azure, AI, security, or ITIL.

About the Company

McKesson

Supplies medicines and technology to healthcare teams

McKesson distributes medicines and medical supplies to pharmacies, hospitals and other care providers, alongside services that connect drug manufacturers with patients. Its specialty businesses support community cancer care and clinical research, extending its work beyond moving products through warehouses. The company buys drugs and supplies from manufacturers for resale, while its software helps pharmacies manage inventory and healthcare teams secure insurance approval for prescriptions. It also sells practice management and patient support services to clinicians and drugmakers. McKesson traces its business roots to 1833 and is headquartered in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1833

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