W
Not Specified Permanent

Springfield, Massachusetts · USA job

Applied AI Partner Architect

Workday

Springfield, Massachusetts

Job description

Overview

In this role, you bridge Workday's AI platform with strategic system integrators and frontier AI providers, turning agentic AI into enterprise-ready solutions. You will co-create customer-focused AI roadmaps and lead rapid pilot-to-production builds, aligning technical delivery with measurable business value. You'll shape integration patterns, governance, and data flows to enable scalable, secure AI adoption within large organizations. This is a hands-on, cross-functional role that drives partner success and real-world impact at scale.

Compensation / Benefits
  • base salary with bonus plan/commission potential
  • annual stock grants
  • flexible/work-from-anywhere arrangements
  • remote work options
  • travel flexibility
  • comprehensive benefits mentioned in policy
Responsibilities
  • Architectural co-innovation with SIs and frontier AI providers to define customer-specific AI roadmaps and quantify business value
  • Lead 4- and 8-week pilot-to-production builds in sandbox environments to bridge roadmap promises and technical reality
  • Support consumption strategy by analyzing usage patterns and forecasting long-term AI and platform needs
  • Navigate global security, compliance, and data privacy requirements to ensure AI solutions fit into customer IT ecosystems
  • Act as a feedback channel to Product and Tech teams, translating real-world challenges into roadmap improvements
  • Design and recommend seamless data flows and integration strategies (including MCP and A2A) within multi-cloud landscapes
  • Demonstrate measurable impact within a defined industry or domain expertise
Key requirements
  • 7+ years of technology solution design, enterprise software implementations, or digital transformation (for Principal level)
  • 7+ years of experience presenting to technical, business, and executive audiences
  • 5+ years of Workday experience (for Principal level) or 3+ years (for Senior level)
  • 4+ years of experience working with GSIs or Frontier AI labs/providers (for Principal) or 2+ years (for Senior)
  • strong executive communication
  • consultative rigor
  • partner-centric collaboration
  • Agentic AI
  • MCP (multi-cloud data flows)
  • A2A orchestration

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