Workday Agentic AI Architect

Position- Workday Agentic AI Architect Location- (Hybrid) - Hyderabad, Bangalore, Noida, Gurgaon, Mumbai, Kolkata, Pune Job Description: Experience 10-15+ years overall experience with 5-8+ years in Workday HCM Functional Consulting/Solution Architecture Role Level - Senior Solution Architect / Lead Architect / Principal Consultant We are seeking a visionary Workday Agentic AI Architect to lead the design and implementation of next-generation AI-driven HR solutions leveraging Workday AI, Workday Assistant, Agentic AI frameworks, Generative AI, and enterprise automation platforms. The ideal candidate will combine deep expertise in Workday HCM, HR business processes, AI-powered workforce transformation, and enterprise architecture to create intelligent agents that automate HR operations, enhance employee experiences, and accelerate business outcomes. This role will serve as a trusted advisor to HR, IT, Digital Transformation, and executive leadership teams to define and execute the organization's AI-powered workforce strategy. 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: Microsoft Copilot Azure AI Services Azure OpenAI OpenAI Anthropic Claude Google Vertex AI 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: Microsoft 365 ServiceNow Salesforce SAP Oracle Learning platforms Payroll systems 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.