Senior AI Deployment Engineer Remote / Telecommute Jobs

Senior AI Deployment EngineerYour work days are brighter here. 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. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.About the Team The AI Practice 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 AI Deployment Engineer, 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 ResponsibilitiesSolution 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.VISA Sponsorship is not available for this role About You Basic Qualifications Senior Level5+ 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 initiatives1+ 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 Level8+ 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 initiatives2+ 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 QualificationsStrong background in technical architecture, with experience designing data flows, integration patterns, and security models across SaaS ecosystems and external servicesDeep familiarity with the Workday ecosystem (HCM and/or Financials), including core configuration concepts, integration frameworks, and security models, or equivalent experience with similar enterprise platformsPractical 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 contextExperience in professional services or consulting, leading technical delivery for high-stakes customer programs and collaborating closely with engagement managers, functional consultants, and customer IT teamsExcellent 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 teamsDemonstrated decision-making and work management skills: prioritizing technical tradeoffs, managing technical risk, and organizing complex work across multiple parallel workstreamsExperience 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