Workday

6 days ago

Principal AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Lead end-to-end system design and product integration for Workday’s next generation intelligent agents. You’ll architect safe, reliable integration of foundational models into production software, owning agentic workflow orchestration and experimentation. As a core champion for Responsible and Governed AI, you’ll design guardrails for privacy, predictability, and explainability while balancing latency, cost, and reliability constraints in a global enterprise environment.

Location: San Francisco, Seattle, Atlanta, Boulder, Vancouver, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead end-to-end system design, architectural framework, and product integration for intelligent agents.
•Architect safe and reliable integration of foundational models into production-grade software.
•Own design, experimentation, and orchestration of complex agentic workflows and translate AI capabilities into business value.
•Champion Responsible and Governed AI by designing guardrails for data privacy, predictability, and explainability.
•Solve critical product constraints including latency, cost, and reliability while delivering enterprise-grade experiences.

Pay and Benefits

Salary: USD 246,000 - 370,000 annually

Perks:Annual BonusEquity

Key Requirements

•10+ years of professional software engineering experience in distributed systems, cloud computing, and API design, plus 2+ years building production-grade LLM/agentic systems (or 7+ years in ML/AI application development with 3+ years shipping LLM-backed products).
•3+ years integrating large models (LLMs, foundation models) and modern AI APIs into user-facing enterprise products.
•2+ years designing and scaling complex AI orchestration architectures, including multi-agent frameworks, routing layers, and RAG pipelines.
•6+ years optimizing application performance, including API latency and user interaction design, with 2+ years applying constraints like token management, cost optimization, and context-window efficiency.
•6+ years leveraging cloud platforms (AWS, GCP) to deploy scalable, responsive systems.

Experience:LLM/agentic systemsMachine learning engineeringEnterprise softwareDistributed systemsCloud computingRAG

Education:Master's in Computer Science, Software Engineering, or equivalent technical field

Skills:Responsible AI stewardshipMentoringCross-functional leadershipProduct-first mindsetThrives in ambiguity

Tech Stack:Distributed systemsCloud computingAPI designLLMsFoundation modelsAI APIsEnterprise productsMulti-agent frameworksRouting layersRAG pipelinesToken managementCost optimizationContext-window efficiencyAWSGCP

Company Brief

Workday

Provides cloud-based enterprise applications for human capital management, financial management, payroll, and analytics. Delivers unified HR and finance software suites to large organizations, enabling workforce planning, talent management, payroll, and financial reporting.

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn

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Workday

6 days ago

Principal AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: San Francisco, Seattle, Atlanta, Boulder, Vancouver, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead end-to-end system design, architectural framework, and product integration for intelligent agents.
•Architect safe and reliable integration of foundational models into production-grade software.
•Own design, experimentation, and orchestration of complex agentic workflows and translate AI capabilities into business value.
•Champion Responsible and Governed AI by designing guardrails for data privacy, predictability, and explainability.
•Solve critical product constraints including latency, cost, and reliability while delivering enterprise-grade experiences.

Pay and Benefits

Salary: USD 246,000 - 370,000 annually

Perks:Annual BonusEquity

Key Requirements

•10+ years of professional software engineering experience in distributed systems, cloud computing, and API design, plus 2+ years building production-grade LLM/agentic systems (or 7+ years in ML/AI application development with 3+ years shipping LLM-backed products).
•3+ years integrating large models (LLMs, foundation models) and modern AI APIs into user-facing enterprise products.
•2+ years designing and scaling complex AI orchestration architectures, including multi-agent frameworks, routing layers, and RAG pipelines.
•6+ years optimizing application performance, including API latency and user interaction design, with 2+ years applying constraints like token management, cost optimization, and context-window efficiency.
•6+ years leveraging cloud platforms (AWS, GCP) to deploy scalable, responsive systems.

Experience:LLM/agentic systemsMachine learning engineeringEnterprise softwareDistributed systemsCloud computingRAG

Education:Master's in Computer Science, Software Engineering, or equivalent technical field

Skills:Responsible AI stewardshipMentoringCross-functional leadershipProduct-first mindsetThrives in ambiguity

Company Brief

Workday

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn