Note: The job is a remote job and is open to candidates in USA. Workday is a leading AI platform for managing people, money, and agents. The Senior AI Deployment Engineer will architect and oversee end-to-end AI solutions for complex global customers, leading technical workstreams across data flows, integrations, configurations, security, and external LLMs. The role also advises senior stakeholders and partners with Product and Engineering to scale Workday AI deployments.
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
Skills
- 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)
- 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 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
Benefits
- This role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus.
- Annual refresh stock grants.
- With Flex Work, we're combining the best of both worlds: in-person time and remote.
- We simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).
- Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
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