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- Full-time
Added 4 mins ago
CO
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OR
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Senior Demand Generation & Lifecycle Marketing Specialist
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Added 18 mins ago
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Senior Specialist, Agentic AI Engineering
McKesson
Mississauga, ON
- Full-time
The Senior Specialist, Agentic AI Engineering designs, builds, deploys, and supports enterprise-scale AI agents and intelligent automation solutions that solve complex business challenges.…
Added 33 mins ago
CL
Distribution Digital Support Specialist (Bilingual 12 month contract)
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Lifecycle Marketing Specialist
ecobee
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P&
Stage - Hiver 2027 - Spécialiste en ingénierie du support technique aux ateliers MRO / Internship - Winter 2027 - Specialist, MRO Engineering Overhaul Support Services
Pratt & Whitney
Longueuil, QC · Saint-Hubert, QC
- Full-time
Job Title: Internship - Winter 2027 - Specialist, MRO Engineering Overhaul Support Services
Added 33 mins ago
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Specialist, Data Developer (Microsoft)
Vale Base Metals
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Added 33 mins ago
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Data Services Specialist
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…industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms,…
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Senior Specialist Data Analytics
CN
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Data AnalyticsMinimum 3 years of experience working with data analytics tools, including Structured Query Language (SQL), Tableau, Power BI, Excel and Systems, Applications, and Products…
Added 33 mins ago
UO
Analyst, Finance Services
University of Calgary
Calgary, AB
- Full-time
This position is part of the AUPE bargaining unit, and falls under the Specialist/Advisor Job Family, Phase 3.
Added 49 mins ago
CM
Specialist, Reporting and Performance, Post Collection System – Alberta/Yukon - Hybrid
Circular Materials
AB
- Full-time
The Specialist, Reporting and Performance, Post-Collection System – Alberta/Yukon Territory supports the monitoring, evaluation, and reporting of post-collection operations across Circular…
Added 49 mins ago
R
Stage - Hiver 2027 - Spécialiste en ingénierie du support technique aux ateliers MRO / Internship - Winter 2027 - Specialist, MRO Engineering Overhaul Support Services
RTX
Longueuil, QC
- Full-time
Job Title: Internship - Winter 2027 - Specialist, MRO Engineering Overhaul Support Services
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Directeur de compte média
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Added 1 hour ago
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Content Specialist
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Port Hardy, BC
- $65,000 to $70,000 CAD / year
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…mandate and of how we work every day. We are hiring a Content Specialist to write and manage content for our businesses across social media, brochures, print and digital ads, case studies,…
Added 1 hour ago
BD
CRM & Lifecycle Marketing Specialist
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The CRM & Lifecycle Marketing Specialist is a hands-on role responsible for operationalizing customer lifecycle, retention, and loyalty strategies through segmentation, automated journeys,…
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T
Kubernetes Engineer II
TD
Toronto, ON
- Full-time
Added 1 hour ago
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Business Information Management Specialist-1
TD
Toronto, ON
- Full-time
Added 1 hour ago
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Business Information Management Specialist-2
TD
Toronto, ON
- Full-time

McKesson

Senior Specialist, Agentic AI Engineering

Mississauga, ON, Canada

$99,100 - $132,100 · Full-time

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Job details

Pay: $99,100 - $132,100
Job type: Full-time
Apply by: Dec 9, 2026
Experience: 5+ years of software engineering experience, including 1+ years building production solutions with LLMs or AI agents.
Posting language: English
Posted: Nov 9, 2026

Original job description

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 click here.

Our Base Pay Range for this position

$99,100 - $132,100

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

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 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) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

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More about this job

Responsibilities

The Senior Specialist will design, build, and deploy enterprise-scale AI agents and intelligent automation solutions to solve complex business challenges. This role involves orchestrating multi-step workflows, integrating with enterprise applications, and ensuring AI solutions are secure, scalable, and production-ready.

Requirements

Candidates must have a bachelor's degree in computer science or engineering and at least 5 years of software engineering experience. Proficiency in Python or TypeScript and experience building production solutions with LLMs or AI agents are required.

Skills

Agentic AI
Python
TypeScript
LLMs
Azure AI Foundry
Azure OpenAI
Retrieval-Augmented Generation
Vector databases
CI/CD
DevOps
Intelligent automation
API development
System architecture
Governance
Machine learning operations
Cloud platforms

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Software Engineering
LLMs
Python
TypeScript
Azure AI Foundry
Azure OpenAI
Intelligent Automation
RAG
Vector Databases
CI/CD
DevOps
AgentOps
LLMOps
MLOps
SAP
ServiceNow
Microsoft 365
API
Governance
Cybersecurity
Agile
Enterprise Architecture
Telemetry
Embeddings
Semantic Search
Knowledge Grounding
Responsible AI
Cloud Platforms
System Integration

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