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: 11 hours agoStatus: Live

Job Summary

Lead end-to-end system design, architectural framework, and product integration for Workday intelligent agents in Agent Factory. Orchestrate production-grade, agentic workflows by integrating foundational models safely into enterprise software, translating AI capabilities into measurable business value. Champion Responsible and Governed AI with guardrails for privacy, predictability, and explainability. Balance hands-on execution with high-level architecture to solve latency, cost, and reliability constraints for Workday’s HR and financial data.

Location: Prague

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 next-generation intelligent agents.
•Architect safe and reliable integration of foundational models into production-grade enterprise software.
•Own design, experimentation, and orchestration of complex agentic workflows to deliver business value.
•Champion Responsible and Governed AI with guardrails for privacy, predictability, and explainability for sensitive HR/financial data.
•Solve critical product constraints including latency, cost, and reliability while delivering integrated agent functionality.

Pay and Benefits

Salary: CZK 2,206,000 - 3,308,000

Key Requirements

•10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design, plus 2+ years focused on production-grade LLM/agentic systems (or 7+ years in ML engineering/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 AI orchestration architectures, including multi-agent frameworks, routing layers, and advanced RAG pipelines.
•6+ years optimizing application performance, including API latency and user-interaction constraints, with 2+ years applied to LLM constraints like token management, cost optimization, and context-window efficiency.
•6+ years leveraging cloud platforms (e.g., AWS, GCP) to deploy responsive, scalable systems.

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

Skills:Autonomous problem-solvingMentoringCross-functional collaborationProduct-first mindsetThrives in ambiguity

Tech Stack:Distributed systemsCloud computingAPI designLLMsFoundation modelsAI APIsMulti-agent frameworksRouting layersRAG pipelinesAgentic workflowsToken managementCost optimizationContext-window efficiencyAWSGCPMachine learning engineeringEvaluation/benchmarkingResponsible AIGoverned AI

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: 11 hours agoStatus: Live

Job Summary

Location: Prague

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 next-generation intelligent agents.
•Architect safe and reliable integration of foundational models into production-grade enterprise software.
•Own design, experimentation, and orchestration of complex agentic workflows to deliver business value.
•Champion Responsible and Governed AI with guardrails for privacy, predictability, and explainability for sensitive HR/financial data.
•Solve critical product constraints including latency, cost, and reliability while delivering integrated agent functionality.

Pay and Benefits

Salary: CZK 2,206,000 - 3,308,000

Key Requirements

•10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design, plus 2+ years focused on production-grade LLM/agentic systems (or 7+ years in ML engineering/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 AI orchestration architectures, including multi-agent frameworks, routing layers, and advanced RAG pipelines.
•6+ years optimizing application performance, including API latency and user-interaction constraints, with 2+ years applied to LLM constraints like token management, cost optimization, and context-window efficiency.
•6+ years leveraging cloud platforms (e.g., AWS, GCP) to deploy responsive, scalable systems.

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

Skills:Autonomous problem-solvingMentoringCross-functional collaborationProduct-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