Workday Agentic AI Architect (4D)

Workday Agentic AI Architect (4D) - J50870

Role & responsibilities

Key Responsibilities
AI Strategy & Architecture

• Define enterprise-wide Workday AI and Agentic AI strategy.
• Architect intelligent agent ecosystems supporting HR operations.
• Create AI-powered employee and manager self-service solutions.
• Design autonomous and semi-autonomous HR workflows.
• Develop AI governance frameworks and responsible AI practices.
• Drive workforce transformation through AI-enabled capabilities.
  Agentic AI Solution Design
  Design and implement AI agents for:
  Employee Agents
• HR inquiries and case resolution
• Benefits guidance
• Policy assistance
• Career development recommendations
• Internal mobility suggestions
  Manager Agents
• Workforce planning support
• Talent review preparation
• Goal management assistance
• Performance coaching insights
• Organizational health monitoring
  Recruiter Agents
• Resume screening
• Candidate matching
• Interview scheduling
• Candidate engagement
• Hiring analytics
  HR Business Partner Agents
• Workforce analytics
• Attrition prediction
• Skills gap analysis
• Organizational effectiveness recommendations
• Talent insights generation
  ________________________________________
  Workday AI Architecture
• Design solutions leveraging Workday AI capabilities.
• Architect integrations between Workday and GenAI platforms.
• Enable intelligent business processes using Workday workflows.
• Define AI data architecture for workforce intelligence.
• Build AI-enhanced reporting and analytics solutions.
  Areas of Focus
• Skills Intelligence
• Talent Optimization
• Workforce Planning
• Recruiting Intelligence
• Career Hub
• Learning Recommendations
• Employee Experience
• HR Service Delivery
  ________________________________________
  Generative AI & LLM Integration
• Integrate Workday with enterprise AI platforms such as:
  o Microsoft Copilot
  o Azure AI Services
  o Azure OpenAI
  o OpenAI
  o Anthropic Claude
  o Google Vertex AI
  o AWS Bedrock
• Architect Retrieval-Augmented Generation (RAG) solutions.
• Implement prompt engineering and orchestration frameworks.
• Design multi-agent collaboration patterns.
• Develop conversational AI experiences.
  ________________________________________
  Enterprise Integration
• Architect interactions between Workday and:
  o Microsoft 365
  o ServiceNow
  o Salesforce
  o SAP
  o Oracle
  o Learning platforms
  o Payroll systems
  o Digital workplace solutions
• Define API-driven AI integration patterns.
• Design event-driven AI architectures.
  ________________________________________
  HR Transformation & Consulting
• Advise executive stakeholders on AI-powered HR transformation.
• Lead workshops on future workforce and AI strategy.
• Identify opportunities for automation and intelligence.
• Create AI value realization roadmaps.
• Support organizational change management initiatives.
  ________________________________________
  Required Qualifications
• Bachelor`s degree in Computer Science, Information Systems, Human Resources, AI, or related field.
• 10+ years of enterprise solution architecture experience.
• 5+ years of Workday HCM experience.
• 3+ years of AI, GenAI, or Machine Learning solution design experience.
• Experience delivering large-scale digital transformation programs.
  ________________________________________
  Required Workday Expertise
  Deep knowledge of:
  Core HCM
• Organizations
• Staffing Models
• Worker Lifecycle
• Business Processes
  Talent Management
• Performance
• Succession
• Skills Cloud
• Career Hub
  Recruiting
• Candidate Lifecycle
• Talent Acquisition
• Interview Management
  Compensation & Benefits
  Learning
  Workforce Planning
  Reporting & Analytics
  ________________________________________
  Required AI & Agentic AI Skills
  Artificial Intelligence
• Generative AI
• Large Language Models (LLMs)
• AI Agents
• Multi-Agent Systems
• Machine Learning Fundamentals
• Conversational AI
  Agentic Frameworks
  Experience with:
• Microsoft Copilot Studio
• Azure AI Foundry
• Semantic Kernel
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Agentic Workflow Platforms
  GenAI Technologies
• Prompt Engineering
• Agent Orchestration
• Vector Databases
• Embeddings
• RAG Architecture
• Model Evaluation
• AI Guardrails
  ________________________________________
  Cloud & Technology Expertise
  Microsoft Ecosystem Preferred
• Azure OpenAI
• Azure AI Search
• Azure Functions
• Azure Logic Apps
• Power Platform
• Copilot Studio
• Fabric Analytics
  Additional Technologies
• REST APIs
• JSON
• GraphQL
• Event Architecture
• Data Engineering
• Enterprise Integration Patterns
  ________________________________________
  Governance, Security & Compliance
• Define Responsible AI frameworks.
• Ensure compliance with GDPR and data privacy regulations.
• Establish AI risk management controls.
• Design secure AI-human interaction models.
• Implement workforce data governance standards.
• Lead AI ethics and compliance reviews.
  ________________________________________
  Leadership Responsibilities
• Lead AI and Workday architecture initiatives.
• Mentor architects, consultants, and AI engineers.
• Drive innovation programs within HR technology.
• Participate in executive strategy discussions.
• Support business development and pre-sales activities.
• Develop AI transformation roadmaps and business cases.
  ________________________________________
  Preferred Certifications
  Workday
• Workday HCM Certification
• Workday Talent Certification
• Workday Learning Certification
  AI & Cloud
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Copilot Studio Certification
• Generative AI Certifications
• AWS AI Specialty
• Google Professional AI Engineer
  ________________________________________
  Key Competencies
  Functional
• HR Transformation
• Workforce Strategy
• Talent Intelligence
• Employee Experience Design
  Technical
• Agentic AI Architecture
• Enterprise Architecture
• Solution Design
• AI Governance
  Leadership
• Executive Communication
• Strategic Thinking
• Innovation Leadership
• Stakeholder Management
• Consulting Excellence
  ________________________________________
  Success Metrics
• Successful deployment of AI-powered HR agents.
• Reduction in HR operational effort through automation.
• Improved employee and manager experience scores.
• Increased talent acquisition efficiency.
• Faster HR case resolution and decision-making.
• Adoption of AI-enabled workforce solutions.
• Achievement of measurable business value from AI investments.
  Experience Level
  12-18+ Years Overall Experience
  Role Level
  Principal Architect | AI Solution Architect | Enterprise Architect | Director - Workday AI & HR Transformation
  Ideal Profile
  A professional who has:
• Strong Workday HCM functional/technical background.
• Experience with Microsoft Copilot, Azure AI, or GenAI platforms.
• HR transformation consulting experience.
• Enterprise architecture expertise.
• Knowledge of Agentic AI and autonomous workflow design.
• Ability to translate HR business challenges into AI-powered workforce solutions.