AI & Automations Builder (HR)

SPS Commerce • Minneapolis, MN

1d • $85,000 - $130,000 • Hybrid

About The Position

As an AI & Automations Builder, you will build and apply agents, automations, and systems solutions that support AI enablement across the HR landscape, including Workday, ADP, and the Learning Technology stack. This hands-on technical role spans the HR platforms and processes that sit outside any single platform. You will own solution design and delivery end to end, from identifying opportunities through building, testing, and documenting the result.

The role reports to the Director of HR Technology & Analytics and partners with HR Technology, HR Operations, Business HR, HR Centers of Excellence, and IT Application Engineering. IT retains ownership of security, integration infrastructure, and system health across HR platforms; this role owns automations, agents, and systems solutions built on top of and across those platforms. You will also work as a peer with the enterprise AI Engineering team on shared agent patterns and infrastructure, and contribute to a cross-functional community of AI Enablement Engineers & Builders.

The role is hybrid at the company's Minneapolis, Minnesota headquarters or fully remote for candidates in the United States or Canada. The annual salary range is $85,000–$120,000 USD or $95,000–$130,000 CAD, plus equity. Final compensation depends on factors including education, skills, work history, certifications, and location. Benefits are country-specific and aligned with local laws and market practices.

Requirements

• 3–5 years of experience as a software, automation, or solutions engineer, with demonstrated experience building and deploying automated workflows or AI-powered agents in production.
• Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
• Proficiency in Python and SQL as daily tools for building and troubleshooting workflows.
• Experience building automated workflows using tools such as Zapier, n8n, or similar platforms.
• Experience with integration design and enterprise system configuration across multiple platforms.
• Comfort owning ambiguous, cross-platform problems, including processes without a predefined system boundary.
• Strong documentation habits and a collaborative approach to knowledge transfer.

Nice To Haves

• Workday and/or ADP experience.
• Familiarity with Workday, ADP, and HR Learning Technology platforms such as Degreed, Training Orchestra, Ethena, and Donut.
• Familiarity with AI/LLM tooling and agent frameworks such as Claude SDK, LangChain, and MCP, and applying them to enterprise workflows.
• Exposure to Workday-specific tools such as Workday Studio, EIBs, or Workday Extend.
• Experience with data pipelines or reporting tools that support people analytics, such as Workday Prism, Power BI, Snowflake, or Databricks.

Responsibilities

• Design, build, and maintain AI agents and automated workflows across HR technology platforms, including Workday, ADP, and the Learning Technology stack, using tools such as Workday Extend, n8n, and Claude Code.
• Own the technical approach for cross-platform automations and agent workflows from scoping through building, testing, and documentation.
• Identify and build solutions for HR processes that fall outside existing system boundaries and lack a single platform owner.
• Partner with HR Technology, HR Operations, HR Business Partners, and HR Centers of Excellence to identify opportunities for agentic AI and automation to reduce friction in HR operations.
• Build integrations and data flows across Workday, ADP, the Learning Technology stack, and the broader enterprise technology ecosystem.
• Support People Analytics and reporting by building automated pipelines that improve data quality, timeliness, and self-service reporting.
• Audit employee-lifecycle HR processes across platforms and gaps between them to identify manual or repetitive work and develop scalable solutions.
• Collaborate with IT Application Engineers, the Technical Product Owner, and Scrum Master on release management, integration design, and roadmap planning.
• Partner with the enterprise AI Engineering team on agent patterns, frameworks, and infrastructure relevant to HR use cases.
• Participate in the AI Enablement community of practice and share reusable agent patterns, workflow components, and lessons learned.
• Document workflows and agent logic so HR and IT can support, audit, and improve them after handoff or rotation.

Benefits

• Equity
• Comprehensive benefits package supporting employees' health, well-being, and financial security; benefits are country-specific and aligned with local laws and market practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level