Senior Specialist, Agentic AI Engineering

Job description

Conceptual Proactive Problem-Solver Strategic Technologically Savvy Visual Thinker <meta data-json="{"ModuleType":13,"ApplyButtonText":"Apply","JobDetailsAlign":0,"JobDetailsDate":0,"JobDetailsJobTypeId":1,"JobDetailsSelectedDate":"2026-11-09T16:32:34.136Z","JobDetailsJobDateFormat":0,"JobDetailsJobLabelId":"Job ID","JobDetailsJobDatePosting":"Date posted","JobDetailsDescriptionFormat":0,"ShowApplyLater":false,"ShowApplyMobile":true,"ShowApplyLaterMobile":false,"ShowApplyLaterWeb":false,"ApplyLaterText":"Apply Later","ApplyLaterAlign":0,"ApplyLaterSubject":"[[JOB_TITLE]] at [[COMPANY_NAME]]","PublishedCandidateCardPageId":null,"ReferrerPageId":null,"ReferrerPageButtonText":"","ShowSavedJobsIcon":false,"IconLabel":"Save for Later","OverrideCandidateCard":false,"ModulePageType":2,"ModulePageName":"AJD - Design 1","DisplayJobDateFormat":"MM/dd/yyyy","JobDetailsSelectedId":"JR0156022","ApplyUrl":"https://mckesson.wd3.myworkdayjobs.com/External_Careers/job/CAN-ON-Mississauga/Senior-Specialist--Agentic-AI-Engineering_JR0156022-1/apply","JobDescription":"\u003Cp style=\u0022text-align:left\u0022\u003EMcKesson 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 \u2013 we care.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:left\u0022\u003EWhat 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\u2019s health today, we want to hear from you.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp\u003EAbout the Role:\u003C/p\u003E\u003Cp\u003EThe 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.\u003C/p\u003E\u003Cbr /\u003E\u003Cp\u003EAs 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.\u003C/p\u003E\u003Cp\u003E\u003C/p\u003E\u003Cp\u003EWhat You\u2019ll Do:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EDesign, build, and deploy enterprise-scale AI agents and intelligent automation solutions that address complex business challenges.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDevelop agentic workflows that reason across enterprise data, orchestrate multi-step processes, and take governed actions.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EIntegrate agents with enterprise applications, APIs, and data platforms (for example, SAP, ServiceNow, and Microsoft 365) using secure, reusable patterns.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBuild reusable skills, tools, and connectors (including MCP-based integrations) and contribute them to a centralized agent catalog.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPartner with product, architecture, security, data, operations, and business teams to translate business needs into production-ready AI capabilities.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EImplement observability, evaluation, and monitoring so agent quality, reliability, cost, and business impact are measurable.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EApply responsible AI, security, and governance standards, including architecture and risk review requirements, before release.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EProvide post-production support, including incident and ticket resolution, root-cause analysis, and continuous improvement.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDocument solutions, share engineering best practices, and mentor peers on agentic AI development.\u003C/li\u003E\u003C/ul\u003E\u003Cbr /\u003E\u003Cp\u003EBasic Requirements:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EBachelor\u0027s degree in computer science, Engineering, or a related field, or equivalent practical experience.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E5\u002B years of software engineering experience, including 1\u002B years building production solutions with LLMs or AI agents.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EProficiency in Python and/or TypeScript, with experience building APIs and services.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with cloud AI platforms such as Azure AI Foundry, Azure OpenAI, or equivalent.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EFamiliarity with CI/CD, DevOps practices, and production support models.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStrong communication skills and the ability to explain technical solutions to business and leadership audiences.\u003Cspan style=\u0022color:#000000\u0022\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cbr /\u003E\u003Cp\u003EPreferred Skills/Experience:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EExperience building Level 2 task agents or Level 3 orchestration/domain agents in enterprise environments.\u00A0\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with Azure AI Foundry, Copilot Studio, Power Platform, Azure OpenAI, or equivalent AI platforms.\u00A0\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, and knowledge grounding.\u00A0\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with AgentOps, LLMOps, MLOps, telemetry pipelines, monitoring dashboards, and AI cost optimization practices.\u00A0\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EKnowledge of Responsible AI, privacy, governance, cybersecurity, audit readiness, and risk-control frameworks.\u00A0\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience supporting enterprise platforms such as SAP, Salesforce, ServiceNow, Workday, Microsoft 365, Teams, SharePoint, or Azure-hosted applications.\u00A0\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience developing reusable frameworks, prompts, connectors, skills, templates, and platform standards.\u00A0\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience working within Agile product delivery teams from discovery through production support.\u00A0\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003C/p\u003E\u003Cp\u003EWe 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. \u003Cspan\u003EThe pay range shown below is aligned with McKesson\u0027s pay philosophy, and pay will always be compliant with any applicable regulations.\u003C/span\u003E 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\u00A0\u003Ca href=\u0022https://careers.mckesson.com/en/benefits\u0022 target=\u0022_blank\u0022\u003Eclick here.\u003C/a\u003E\u003C/p\u003E\u003Cp\u003E\u003C/p\u003E\u003Cp\u003E\u003Cb\u003EOur Base Pay Range for this position\u003C/b\u003E\u003C/p\u003E\u003Cp\u003E\u003C/p\u003E$99,100 - $132,100\u003Cp\u003E\u003C/p