Senior Artificial Intelligence Deployment Architect

Workday

Paris

Sur place

EUR 110 000 - 160 000

Plein temps

Il y a 2 jours
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Résumé du poste

Workday seeks an AI Deployment Architect to design end-to-end AI transformations for our complex, global customers. You will connect Sana Enterprise AI capabilities, native AI agents, and the Agent Builder Platform to drive ROI for HR, Finance and IT leaders.

You will advise executive sponsors, shape AI-enabled processes and operating models, and guide functional workstreams through preparation, activation, and adoption with a focus on usable, ethical, scalable, value-driven outcomes.

Qualifications

  • 5+ years of experience in enterprise software consulting or functional implementation with multi-country projects.
  • 1+ years designing or delivering AI-enabled or analytics-driven solutions in an enterprise context.
  • Strong business acumen to map AI capabilities to concrete business outcomes.
  • Experience managing high-stakes client delivery and multi-disciplinary teams.
  • Excellent communication skills for non-technical stakeholders and partners.

Responsabilités

  • Design comprehensive AI-enabled solutions and roadmaps for HR, Finance, and IT stakeholders.
  • Lead functional workstreams: requirements, process design, data readiness, and UX considerations.
  • Collaborate with Product and Engineering to translate field insights into platform features.
  • Ensure AI use cases are supported by appropriate data models, security, and integration patterns.

Connaissances

Stakeholder management
Strategic advisory
Solution design
Executive communication
Process orchestration
Change management
Cross-functional leadership
Analytical thinking
Agile collaboration

Outils

Sana Enterprise AI
Workday Agent Builder
Workday AI agents

Description du poste

  • The AI Deployment Architect team sits within Workday’s Professional Services organization and focuses on helping customers realize tangible business value from Workday AI across HCM and Financials. Our functional consultants work directly with HR, Finance, and IT stakeholders to design AI enabled business processes, define use cases, and guide change management and adoption
  • We partner closely with Product, Engineering, and Engagement Management to ensure that every AI deployment is grounded in strong functional design, robust data foundations, and a clear story for end users. Our work is highly visible: we help some of Workday’s most complex global customers move from AI concepts to day to day workflows that feel intuitive, responsive, and impactful
  • As an AI Deployment Architect, you will be the primary functional architect responsible for designing end‑to‑end AI transformations for our most complex customers. You’ll connect the capabilities of Workday’s Sana Enterprise AI platform, Workday’s Native AI Agents, and Workday’s Agent Builder Platform to generate ROI and business outcomes for HR, Finance and IT leaders
  • You will act as a trusted advisor to executive sponsors, design AI‑enabled process and operating models, and lead functional workstreams through preparation, activation, and adoption. In this role, you help customers move well beyond AI “hype” by ensuring every solution is usable, ethical, scalable, and tied to measurable value
Key Responsibilities
  • Solution Design / Strategic Advisory:
  • Design comprehensive AI‑enabled solutions, serving as a trusted advisor to senior HR, Finance, and IT leaders, translating AI capabilities into clear business value, outcome‑driven roadmaps, and adoption plans for their organizations
  • Functional Leadership:
  • Lead functional workstreams for AI initiatives, including requirements discovery, process design, configuration guidance, data readiness, and user experience considerations
  • Innovation & Feedback:
  • Partner with Product and Engineering to share field insights from customer deployments, influencing the evolution of Workday’s AI agents, platform features, and Sana Enterprise platform
  • Ecosystem Alignment:
  • Collaborate with technical and integration teams to ensure that AI use cases are supported by appropriate data models, security considerations, and integration patterns with third‑party systems
Qualifications
  • Ability to travel up to 50%
  • 5+ years of experience in enterprise software consulting or functional implementation including significant experience leading complex, multi‑country or multi‑business‑unit projects
  • 1+ years of experience designing or delivering AI‑enabled or analytics‑driven solutions in an enterprise context (e.g., AI agents, intelligent automation, advanced analytics, or ML‑powered features)
  • 8+ years of experience in enterprise software consulting or functional implementation including significant experience leading complex, multi‑country or multi‑business‑unit projects
  • 2+ years of experience designing or delivering AI‑enabled or analytics‑driven solutions in an enterprise context (e.g., AI agents, intelligent automation, advanced analytics, or ML‑powered features)
  • Strong business acumen, with the ability to define AI‑enabled use cases, and connect AI capabilities to concrete business outcomes for customers
  • Background in professional services or consulting, with experience managing high‑stakes client delivery and collaborating in multi‑disciplinary project teams (e.g., engagement management, technical, change management)
  • Experience in solutions design, including leading discovery and design workshops to translate business requirements into AI‑enabled workflows, agent behaviors, and governance models
  • Excellent communication skills, with the ability to explain complex AI concepts in accessible terms for non‑technical stakeholders while maintaining credibility with technical and product partners
  • Demonstrated decision‑making and process improvement skills, using data and feedback from deployments to refine methodologies, templates, and best practices over time
  • Comfort working in evolving spaces, with a growth mindset and a desire to continuously develop your expertise in AI, agentic workflows, and Workday’s Ethical AI principles
  • Commitment to Workday’s Ethical AI standards, ensuring all solutions are designed to be transparent, fair, and secure for all users
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