Senior Technical Delivery Consultant - AI Practice

About the role

The Senior Technical AI Practice Delivery Consultant leads the technical architecture for end-to-end AI solutions for Workday's most complex global customers. They work across Native AI Agents, the Workday Agent Platform, external LLMs, and Sana to define data flows, integrations, and configurations.

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.

Qualifications

• 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).

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.
• 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.