Senior Technical Delivery Consultant - AI Practice

Requirements

• We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most.
• 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.
• About the Role 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 workstreams, advise C‑suite and technical stakeholders, and collaborate closely with Product and Engineering to shape how Workday AI is deployed at scale. Key
• 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) 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