Principal Technical Delivery Consultant - Ai Practice

Workday

Chicago, IL, USA
Base: $147,400 - $221,000 usd (chicago); bonus/equ...
Fully remote
8+ years enterprise software implementation
2+ years hands-on ai/ml deployment experience
Expertise in llms and rag architectures
This role serves as the lead technical architect responsible for designing and overseeing the delivery of end-to-end AI solutions for Workday's most complex global customers

Job Summary

  • This role serves as the lead technical architect responsible for designing and overseeing the delivery of end-to-end AI solutions for Workday's most complex global customers.
  • The position requires acting as a trusted advisor to C-suite leaders to translate AI architecture choices into clear business value and long-term digital transformation roadmaps.
  • Candidates will collaborate closely with Product and Engineering teams to share real-world insights from customer deployments, informing the evolution of the Agent Platform and AI tooling.

Matching Summary

This role serves as the lead technical architect responsible for designing and overseeing the delivery of end-to-end AI solutions for Workday's most complex global customers.

Salary

Base: $147,400 - $221,000 USD (Chicago); Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available

Skills & Requirements

Must-have

  • 8+ years enterprise software implementation
  • 2+ years hands-on AI/ML deployment experience
  • Expertise in LLMs and RAG architectures
  • Deep familiarity with Workday ecosystem
  • Experience with data flows and integration patterns

Nice-to-have

  • Strong alignment with Ethical AI principles
  • Excellent communication with non-technical stakeholders
  • Experience driving process improvements in delivery
  • Curious minds and courageous collaborators

Key Requirements

  • Principal Level: 8+ years in enterprise software implementation
  • Senior Level: 5+ years in enterprise software implementation
  • Hands-on experience with LLM-based solutions or RAG architectures
  • Strong background in technical architecture for SaaS ecosystems

Work Rights

Not specified

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