Workday

1 month ago

Principal AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Design and build the core ML systems for Workday’s next generation of AI agents within a small, senior pod. Own models, agent logic and orchestration across the full lifecycle—from problem framing and data strategy to deployment, monitoring, and continuous improvement. Implement and evolve frameworks for LLM-powered agents (RAG, workflows, evaluation, feedback loops) at global enterprise scale, collaborating with software engineers, product managers, and data scientists.

Location: Seattle, Toronto, Vancouver

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and build the core ML systems behind Workday’s next generation of AI agents in production
•Work within a small, senior, cross‑functional pod and own how models, agent logic, and orchestration layers come together
•Implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops
•Ensure solutions are scalable, observable, and enterprise-ready and partner closely with software engineers, product managers, and data scientists
•Contribute to the broader ML engineering lifecycle including problem framing, data strategy, deployment, monitoring, and continuous improvement

Pay and Benefits

Salary: USD 188,000 - 282,000 annually

Key Requirements

•10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied ML products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
•4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as PyTorch, TensorFlow
•6+ years of professional experience in building services to host machine learning models in production at scale
•3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
•6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)

Experience:AIMachine learningEnterprise AI

Education:Bachelor's

Skills:LeadershipCommunicationCollaborationProblem-solvingMentorship

Tech Stack:PythonPyTorchTensorFlowAWSGCPLLMsRAGGraph neural networksProductionOrchestration

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

1 month ago

Principal AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Seattle, Toronto, Vancouver

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and build the core ML systems behind Workday’s next generation of AI agents in production
•Work within a small, senior, cross‑functional pod and own how models, agent logic, and orchestration layers come together
•Implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops
•Ensure solutions are scalable, observable, and enterprise-ready and partner closely with software engineers, product managers, and data scientists
•Contribute to the broader ML engineering lifecycle including problem framing, data strategy, deployment, monitoring, and continuous improvement

Pay and Benefits

Salary: USD 188,000 - 282,000 annually

Key Requirements

•10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied ML products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
•4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as PyTorch, TensorFlow
•6+ years of professional experience in building services to host machine learning models in production at scale
•3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
•6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)

Experience:AIMachine learningEnterprise AI

Education:Bachelor's

Skills:LeadershipCommunicationCollaborationProblem-solvingMentorship

Tech Stack:PythonPyTorchTensorFlowAWSGCPLLMsRAGGraph neural networksProductionOrchestration

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