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McKesson

People AI Solutions Designer

Mississauga, ON, Canada

$122,100 - $162,800 · Full-time

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Job details

Pay: $122,100 - $162,800
Job type: Full-time
Experience: Typically 7+ years of relevant experience building automations, agents, integrations, or applications, consistent with a P5 individual contributor.
Posting language: English
Posted: Nov 4, 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.

Position Summary

The People AI Solutions Designer is the builder. Where the People AI Deployment Lead readies HR processes for automation, the Solutions Designer takes that readied work and builds it - rapidly prototyping, coding, and shipping the agents, automations, and lightweight apps that solve real HR problems.

This is a hands-on craft role for someone who moves quickly from problem to working prototype to production. The Designer “vibe-builds” and assembles solutions in low-code and agent platforms and dropping into code where it is faster or better - and partners closely with the Deployment Lead, HR Systems, and McKesson Technology to put durable solutions into the hands of HR. Select solutions may be managed from idea to launch from within HR with limited oversight, and more complex solutions may require a handoff to MT to fully implement.

Key Responsibilities

Translate Readied Workflows into Technical Designs (20%)

Take defined inputs, outputs, decision points, and ownership and turn them into a concrete solution design or mockup.

Make pragmatic build decisions - what an agent handles, what is automated, what stays human - and flag where a process needs more readiness before it can be built.

Build & Prototype Solutions (30%)

Build agents, automations, and lightweight apps that solve the HR problems surfaced and readied by process owners across HR & partners within the Workforce Innovation team

Rapidly prototype - turn a readied workflow into a working build quickly, favoring momentum and learning over perfection, then refine based on user feedback

Build across low-code and agent platforms (e.g., Microsoft Copilot Studio / Power Platform, ServiceNow, Moveworks) and drop into code (Python, scripting, APIs) where it is the better tool.

Lead the prototype and build, partnering closely with UX designer for interface designs and McKesson Technology for complex enterprise solutions

Iterate from Real Usage (20%)

Pilot solutions with real users, instrument them, and improve based on actual usage and performance.

Tune prompts, logic, and integrations to raise quality, reliability, and experience.

Harden, Document & Hand to Operations (15%)

Harden solutions for production including error handling, guardrails, data handling, and monitoring and document how they work. Fully ready the solution for transition and lifecycle management.

Hand solutions to HR Systems / operations / COE owners for ongoing ownership, in line with the standards set by the Deployment Lead.

Maintain a Reusable Build Toolkit & Standards (15%)

Build and curate reusable components, patterns, and templates so each new solution ships faster than the last.

Contribute to shared build, security, and quality standards for AI and automation in HR.

What Success Looks Like

Readied HR workflows are turned into working, deployed solutions on a short cycle.

Solutions are reliable in production, well-documented, and cleanly handed to operations.

A growing library of reusable components shortens the build time for each new solution.

Measurable capacity, cycle-time, and experience gains are realized from shipped builds.

Demonstrates a repeatable “ready-then-build” model that scales across HR.

Minimum Job Qualifications

Education / Training

Bachelor’s degree or equivalent experience in computer science, information systems, design, engineering, or a related field - or equivalent demonstrated building experience.

Certifications in relevant low-code / agent platforms (e.g., Power Platform, Copilot Studio, ServiceNow) preferred.

Business Experience

Typically 7+ years of relevant experience building automations, agents, integrations, or applications, consistent with a P5 individual contributor.

Demonstrated portfolio of solutions taken from prototype to production. HR or enterprise-process context is a plus.

Specialized Knowledge & Skills

Fluency with low-code / agent platforms and the ability to drop into code (Python, scripting, APIs) when it is faster or better.

Hands-on experience building with LLMs and agent tooling; prompt, logic, and integration design.

Comfort with ambiguity; moves from problem to working prototype quickly and iterates from real usage.

Builds for reliability, quality, security, and maintainability, and documents and hands off cleanly.

Collaboration mindset, working in tight partnership with the HR COE or Process owner, Process Readiness lead, HR Systems, and McKesson Technology.

Why This Role Matters

This role brings a new skillset (citizen development) out of enterprise technology and in to HR to sit alongside process owners and automate the daily tasks that take administrative lift. Allows for greater strategic capacity, and ensures repeated reliable process handoffs across complex HR teams.

The People AI Duo

This role is one half of a deliberate two-person operating model for AI and automation in HR. The People AI Deployment Lead goes out across HR to find the work that is ripe for automation and gets it ready for automation. This role, the People AI Solutions Designer, takes that readied work and builds a rapid prototype, and codes, and ships the agents and automations to manage the process. Together the duo can be deployed against any HR process, end to end: one readies, one builds, and a repeatable model for scaling AI across HR takes hold.

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

$122,100 - $162,800

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

Design and build AI agents, automations, and lightweight applications for HR workflows using low-code platforms and code where appropriate. Pilot and improve solutions with real users, prepare them for reliable production use, document and hand them off to operations, and develop reusable components and standards.

Requirements

Typically requires 7 or more years of relevant experience building automations, agents, integrations, or applications, with a demonstrated portfolio of solutions taken from prototype to production. Requires fluency with low-code and agent platforms, hands-on LLM and agent-tooling experience, and the ability to use Python, scripting, and APIs; a bachelor's degree or equivalent experience is required, while relevant platform certifications are preferred.

Skills

Low-Code Development
AI Agent Development
Automation
Python
Scripting
API Integration
Prompt Design
Solution Prototyping
Application Development
Microsoft Copilot Studio
Microsoft Power Platform
ServiceNow
Moveworks
User Testing
Production Hardening
Technical Documentation

Visa sponsorship

Not detected in the job text

Keywords

People AI
Human Resources
Citizen Development
Artificial Intelligence
Large Language Models
AI Agents
Low-Code Platforms
Microsoft Copilot Studio
Microsoft Power Platform
ServiceNow
Moveworks
Python
Scripting
APIs
Prompt Design
Workflow Automation
Application Development
Rapid Prototyping
Integrations
User Feedback
Production Monitoring
Error Handling
Data Handling
Security
Quality Standards
Reusable Components
Lifecycle Management
HR Systems
Process Readiness
Enterprise Technology

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