| Job Description: | **Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
Bill Rate: $70-75/hr
MSP Owner: Kelly Gosciminski
Location: Irvine, CA - onsite
Duration: 6 months
GBaMS ReqID: 10687109
Workday / AI Role
" 10 15+ years of experience in HR Technology, Enterprise Applications, or Digital Platforms
Strong expertise in:
Workday architecture and HR processes
Integration patterns and enterprise system design
Hands-on experience or strong familiarity with:
Microsoft Copilot / M365 ecosystem
LLM-based platforms (e.g., Claude or similar)
AI-enabled enterprise applications
Proven ability to:
Translate business needs into technical architecture and solutions
Work across multiple platforms and systems
Strong understanding of:
APIs, integrations, and data flows
Security and governance considerations in HR systems
Experience working in product-based or platform-based operating models"
"Role Summary
We are seeking a senior, technically strong HR AI Experience & Architecture Lead to define and evolve our HR Assist platform into a next-generation, AI-powered employee experience layer. This role will combine deep Workday and HR domain knowledge, strong technical architecture thinking, and AI platform expertise to help design how HR Assist connects across systems, leverages AI capabilities, and delivers a seamless, intelligent employee experience.
The individual will play a critical role in helping define:
How HR Assist evolves beyond a chatbot into a unified HR experience platform
How to architect connectivity across Workday, Microsoft Copilot, Claude, Dayforce, and other systems
Which AI capabilities should be built, integrated, or leveraged from existing platforms
This is not a pure strategy role - it requires hands-on technical thinking, architecture mindset, and product leadership to translate vision into scalable solutions.
Key Responsibilities
HR Assist Platform Evolution
Define and drive the next phase of HR Assist, transforming it from a chatbot into a central AI-powered HR experience layer
Design how HR Assist supports:
Employee self-service
Manager interactions
Case management and knowledge access
Transactional and advisory HR journeys
Identify gaps in current capabilities and define future-state experience vision
________________________________________
AI Operating Model & Platform Design
Lead the technical thinking and framework design for how AI capabilities are delivered across HR systems
Define how HR Assist integrates with:
Workday (transactions, case management, knowledge, workflows)
Microsoft Copilot (productivity, enterprise workflows, M365 ecosystem)
Claude or similar LLM platforms (advanced reasoning, content generation, knowledge synthesis)
Dayforce and other systems (employee-facing use cases)
Evaluate and recommend:
What should be built vs integrated vs leveraged
Where each platform is best suited
How to avoid duplication and fragmented experiences
________________________________________
Use Case Engineering & Solution Design
Translate HR needs into AI-enabled use cases and technical solutions
Lead design of:
Intelligent workflows
Conversational experiences
AI-driven decision support
Work closely with:
Solution engineers
Enterprise architects
Data and integration teams
to define end-to-end solution architecture
________________________________________
Cross-Platform AI Strategy (Execution-Focused)
Help operationalize the HR AI strategy and roadmap
Define clear patterns and guardrails for:
When to use Workday-native AI
When to leverage Copilot
When Claude (or similar) is more appropriate
Ensure HR Assist acts as a cohesive front-end experience, regardless of backend platform
________________________________________
Technical Depth & Integration Thinking
Drive architecture for:
APIs and integrations
Data flows across systems
Real-time vs batch interactions
Security and role-based access
Partner with engineering teams to ensure solutions are:
Scalable
Maintainable
Aligned with enterprise standards
________________________________________
Governance, Risk & Responsible AI
Help define governance for:
AI usage across HR platforms
Sensitive HR data handling
Model selection and usage boundaries
Ensure solutions align with security, compliance, and ethical AI principles
________________________________________
Stakeholder Partnership
Work closely with:
HR leadership
HR technology product teams
Enterprise architecture
Security and data teams
Act as a bridge between business needs and technical execution" |