Sr. AI Deployment Architect

As an AI Deployment Architect, you design end-to-end AI transformations for complex customers within Workday’s Professional Services. You connect Sana Enterprise AI, Native AI Agents, and Agent Builder Platform to drive measurable ROI for HR, Finance, and IT. You act as a trusted advisor to executives, shaping AI-enabled processes and operating models while guiding adoption. You ensure solutions are usable, ethical, scalable, and value-driven. This role blends strategic design with hands-on collaboration to move customers from hype to impact.

• Design comprehensive AI-enabled solutions and translate capabilities into business value and adoption roadmaps for senior leaders
• Lead functional workstreams across requirements discovery, process design, data readiness, and user experience
• Collaborate with Product and Engineering to feed field insights and influence AI agents and platform evolution
• Coordinate with technical and integration teams to ensure data models, security, and integration patterns support AI use cases

• 1+ years of experience designing or delivering AI-enabled or analytics-driven solutions in an enterprise context (P4)
• 5+ years of experience in enterprise software consulting or functional implementation with leading complex, multi-country/multi-unit projects (P4)
• Ability to travel up to 50%
• 2+ years of experience designing or delivering AI-enabled or analytics-driven solutions in an enterprise context (P5)
• 8+ years of experience in enterprise software consulting or functional implementation with leading complex, multi-country/multi-unit projects (P5)
• Ability to travel up to 50%
• Strong business acumen and ability to connect AI use cases to business outcomes
• Experience in solutions design including discovery and design workshops
• Background in professional services or consulting with multi-disciplinary delivery teams
• Excellent communication skills to explain AI concepts to non-technical stakeholders
• Decision-making and process improvement skills driven by deployment data and feedback
• Growth mindset with interest in AI, agentic workflows, and ethical AI principles
• Commitment to Workday’s Ethical AI standards

• strong communication
• business acumen
• collaboration
• AI-enabled workflows and agent behaviors
• governance models for AI deployments
• data readiness and data modeling