1 day ago
Base Salary
$205k - $364k/yr
Responsibilities
- Define the long-term architecture vision, target state, and roadmap for the AI Platform.
- Own the end-to-end architecture of agent runtimes, orchestration, routing, model management, and data infrastructure.
- Establish architectural patterns for highly available, scalable, performant, and fault-tolerant distributed systems.
- Define model integration, serving, evaluation, optimization, and quality-performance-cost tradeoffs.
- Design cloud architecture across AWS and GCP, including multi-cloud and managed AI service patterns.
- Build security, privacy, compliance, auditability, and responsible AI practices into the platform architecture.
- Establish reference architectures, design patterns, architecture principles, and architecture review processes.
- Lead technology and vendor evaluations, including build-versus-buy decisions.
- Align AI Platform pillars and Workday architects around shared standards and resolve design conflicts.
- Mentor architects and senior engineers and develop the architecture community.
- Advise senior leadership on technical strategy, risk, and investment tradeoffs and represent Workday externally.
Requirements
- Bachelor’s degree in Computer Science or a related discipline.
- 15+ years of software engineering experience, including significant time in senior architecture roles.
- 8+ years defining the architecture of large-scale distributed systems running in production.
- 8+ years running architecture practices such as reference architectures, architecture decision records, and architecture review boards.
- 5+ years architecting AI or machine learning platforms supporting production workloads at enterprise scale.
- Strong model-engineering background covering model selection, evaluation, serving, and optimization.
- Deep familiarity with large language models, retrieval-augmented generation, and agent orchestration patterns.
- Strong AWS and GCP architecture experience, including core infrastructure and managed AI services.
- Working knowledge of AI governance, security, privacy, compliance, and responsible AI practices.
- Ability to set direction and influence multiple teams without direct authority and communicate complex architecture to executives and engineers.
- Track record of mentoring architects and senior engineers.
- Experience with agent frameworks and interaction protocols such as LangGraph, MCP, and A2A.
- Experience architecting container and orchestration platforms such as Kubernetes at scale.
- Familiarity with AI regulation and data sovereignty requirements such as the EU AI Act.
- Recognized technical reputation through publications, patents, open-source contributions, or industry speaking.
- Sound judgment balancing innovation, platform stability, cost, and risk.
Benefits
- Flexible Work model with at least 50% of each quarter spent in the office or in the field with customers, prospects, and partners.
- Potential eligibility for the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Workday provides comprehensive benefits and reasonable accommodations for qualified applicants.
Tech Stack
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.