About the TeamThe AI Practice Delivery team is part of Workday's Professional Services organization and is responsible for the technical realization of Workday AI for our customers. Our technical consultants work across architecture, integrations, data, and configuration to ensure that Native AI Agents, the Workday Agent Platform, and Sana are deployed in a performant, secure, and scalable way.
About the RoleAs a Principal Technical AI Practice Delivery Consultant, you will be the lead technical architect responsible for designing and overseeing the delivery of end-to-end AI solutions for Workday's most complex global customers. You will work across Native AI Agents, the Workday Agent Platform, external LLMs, and Sana to define how data flows, integrations, and configurations come together to produce trustworthy, high-impact AI experiences.
You will lead technical workstreams, advise C-suite and technical stakeholders, and collaborate closely with Product and Engineering to shape how Workday AI is deployed at scale.
Key Responsibilities- Solution Design:
Architect end-to-end AI solutions across the Workday ecosystem, including data flows, integration patterns, and technical controls that connect Native Agents, custom agents on the Workday Agent Platform, and Sana's knowledge and content capabilities. - Strategic Advisory:
Act as a trusted technical advisor to C-suite and senior technical leaders, translating AI architecture choices into clear business value, risk considerations, and long-term digital transformation roadmaps. - Technical Leadership:
Lead technical delivery for AI workstreams, providing oversight for configuration, integrations, data preparation, privacy and security controls, and model-related tuning within the Workday environment. - Innovation & Feedback:
Partner closely with Workday Product and Engineering teams to share real-world insights from customer deployments, informing the evolution of the Agent Platform, AI tooling, and Sana integration capabilities. - Ecosystem Integration:
Design and validate patterns for how Workday AI interacts with third-party systems and external LLMs, ensuring data integrity, security, and adherence to Workday's Ethical AI principles.
About YouBasic QualificationsPrincipal Level- 8+ years of experience in enterprise software implementation, technical architecture, and technical consulting (e.g., Workday, HCM/FIN, or similar platforms), including leading complex, multi-system initiatives
- 2+ years of hands-on experience with enterprise AI/ML or intelligent automation deployments (e.g., LLM-based solutions, RAG architectures, or AI-driven workflows)
Senior Level- 5+ years of experience in enterprise software implementation, technical architecture, and technical consulting (e.g., Workday, HCM/FIN, or similar platforms), including leading complex, multi-system initiatives
- 1+ years of hands-on experience with enterprise AI/ML or intelligent automation deployments (e.g., LLM-based solutions, RAG architectures, or AI-driven workflows)
Other Qualifications- Strong background in technical architecture, with experience designing data flows, integration patterns, and security models across SaaS ecosystems and external services
- Deep familiarity with the Workday ecosystem (HCM and/or Financials), including core configuration concepts, integration frameworks, and security models, or equivalent experience with similar enterprise platforms
- Practical experience with AI concepts such as LLMs, retrieval-augmented generation (RAG), prompt design, and orchestration layers, and how these can be applied in an enterprise context
- Experience in professional services or consulting, leading technical delivery for high-stakes customer programs and collaborating closely with engagement managers, functional consultants, and customer IT teams
- Excellent communication skills, with the ability to explain complex AI and architectural topics to non-technical stakeholders while engaging deeply with developers, data engineers, and product teams
- Demonstrated decision-making and work management skills: prioritizing technical tradeoffs, managing technical risk, and organizing complex work across multiple parallel workstreams
- Experience driving process improvements in technical delivery practices (e.g., establishing reference architectures, reusable patterns, or automation that improves consistency and quality)
- Strong alignment with Workday's Ethical AI principles, with a focus on designing solutions that are transparent, fair, secure, and compliant with data privacy requirements
Posting End Date: 06/30/2026The application deadline for this role is the same as the posting end date statedWorkday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: USA.IL.Chicago
Primary Location Base Pay Range: $147,400 USD - $221,000 USD
Additional US Location(s) Base Pay Range: $133,300 USD - $236,900 USD
Additional Considerations:
If performed in Colorado, the pay range for this job is $140,300 - $210,500 USD based on min and max pay range for that role if performed in CO.
The application deadline for this role is the same as the posting end date stated as below:
06/30/2026
Our Approach to Flexible WorkWith Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply
spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
