1 day ago
Vancouver, CanadaSenior
Responsibilities
- Drive end-to-end system design, implementation, and product integration for intelligent agents.
- Design and scale AI orchestration architectures, including multi-agent workflows, routing layers, and advanced retrieval pipelines.
- Integrate large language and foundation models and modern AI APIs into user-facing enterprise products.
- Build scalable backend, distributed-system, API, and application layers that address latency, cost, reliability, predictability, and error handling.
- Implement responsible AI governance, privacy protections, security layers, explainability, and evaluation mechanisms for sensitive HR and financial data.
- Prototype and benchmark model outputs, establish automated evaluation metrics, and optimize agentic behavior and retrieval quality.
- Technically lead engineering workstreams, own development lifecycles, and mentor junior-to-mid-level engineers.
Requirements
- 8+ years of professional software engineering experience with backend architecture, distributed systems, and API design plus 1+ year building production-grade LLM or agentic systems, or 5+ years in Machine Learning Engineering or AI application development with 2+ years shipping LLM-backed products.
- 2+ years of hands-on experience integrating large models and modern AI APIs into user-facing enterprise products.
- 1+ year designing and scaling AI orchestration architectures such as multi-agent frameworks, routing layers, or advanced RAG pipelines.
- 4+ years optimizing application performance, including at least 1+ year addressing modern LLM constraints such as token management, cost optimization, and context-window efficiency.
- 4+ years leveraging cloud computing platforms such as AWS or GCP to deploy responsive, scalable systems.
- Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field; a master’s degree is preferred.
- Strong understanding of responsible AI governance, guardrails, security, evaluation, system design, experimentation, product-focused AI development, and technical leadership.
- Ability to work autonomously in ambiguous environments and translate open-ended product goals into scalable engineering solutions.
Benefits
- Flexible work arrangement requiring at least 50% of each quarter in the office or in the field, with remote home-office flexibility where applicable.
- Eligible roles may include the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Workday provides comprehensive benefits and reasonable workplace accommodations.
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.