People AI Solutions Designer

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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

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