Senior Technical Delivery Consultant - AI Practice

Workday Workday · Enterprise · Chicago, IL +1 · Remote

This role is for a Senior Technical Delivery Consultant focused on the AI Practice within Workday's Professional Services. The consultant will be responsible for the technical realization and end-to-end AI solution design and delivery for Workday's customers, working with Native AI Agents, the Workday Agent Platform, external LLMs, and Sana. Key responsibilities include solution architecture, strategic advisory to C-suite stakeholders, technical leadership for AI workstreams, and partnering with Product and Engineering teams. The role requires strong experience in enterprise software implementation, technical architecture, and hands-on experience with AI/ML deployments like LLM solutions and RAG architectures.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 5+ years of experience in enterprise software implementation, technical architecture, and technical consulting
  • 1+ years of hands‑on experience with enterprise AI/ML or intelligent automation deployments
  • Strong background in technical architecture
  • Deep familiarity with the Workday ecosystem or equivalent experience with similar enterprise platforms
  • Practical experience with AI concepts such as LLMs, retrieval‑augmented generation (RAG), prompt design, and orchestration layers
  • Experience in professional services or consulting
  • Excellent communication skills
  • Demonstrated decision‑making and work management skills
  • Experience driving process improvements in technical delivery practices

Nice to have

  • 8+ years of experience in enterprise software implementation, technical architecture, and technical consulting
  • 2+ years of hands‑on experience with enterprise AI/ML or intelligent automation deployments

What the JD emphasized

  • enterprise AI/ML or intelligent automation deployments
  • LLM‑based solutions
  • RAG architectures
  • AI‑driven workflows
  • technical architecture
  • LLMs
  • retrieval‑augmented generation (RAG)
  • Ethical AI principles

Other signals

  • AI platform
  • AI Agents
  • LLM-based solutions
  • RAG architectures
  • AI-driven workflows
  • Agent Platform