Senior Technical Delivery Consultant - AI Practice

Workday•Chicago, IL

3d•$133,300 - $236,900•Hybrid

About The Position

Workday is seeking a Senior Technical Delivery Consultant for their AI Practice. This role is part of the Professional Services organization and is responsible for the technical realization of Workday AI for customers. The consultant will work across architecture, integrations, data, and configuration to ensure the performant, secure, and scalable deployment of Native AI Agents, the Workday Agent Platform, and Sana. The Senior Technical AI Practice Delivery Consultant will act as the lead technical architect, designing and overseeing the delivery of end-to-end AI solutions for complex global customers. Responsibilities include working with Native AI Agents, the Workday Agent Platform, external LLMs, and Sana to define data flows, integrations, and configurations for AI experiences. The role involves leading technical workstreams, advising C-suite and technical stakeholders, and collaborating with Product and Engineering to scale Workday AI deployments.

Requirements

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)
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

Nice To Haves

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)

Responsibilities

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 workstreams, 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.