Senior Technical Delivery Consultant - AI Practice

About the Team

The 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.

As a Senior 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 work streams, advise C‑suite and technical stakeholders, and collaborate closely with Product and Engineering to shape how Workday AI is deployed at scale.

• 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.
• 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.
• Lead technical delivery for AI work streams, providing oversight for configuration, integrations, data preparation, privacy and security controls, and model‑related tuning within the Workday environment.
• 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.
• 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.

• 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).
• Principal 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).

• 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 work streams.
• Experience driving process improvements in technical delivery practices (e.g.,…