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Principal AI Engineer
WillHirePrincipal AI Engineer developing AI-driven user experiences and ML solutions for Workday's product ecosystem. Collaborating with teams to leverage advanced technologies and rich datasets.
Posted 6/18/2026full-timeSeattle • Colorado, Oregon, Washington • 🇺🇸 United StatesLead💰 $228,000 - $342,000 per yearWebsite
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformPyTorchTensorflow
About the role
Key responsibilities & impact- Develop tailored user experiences using advanced LLMs and predictive analysis
- Collaborate on ML solutions across Workday’s product ecosystem
- Enable training, deployment, and management of various ML models
- Develop and deploy new products at scale
Requirements
What you’ll need- 10+ years experience in data science, machine learning engineering, or software development
- 4+ years in machine learning and deep learning frameworks like Pytorch, TensorFlow
- 6+ years in building ML models in production at scale
- 3+ years with large language models (LLMs) or graph neural networks
- 6+ years with cloud computing platforms (e.g. AWS, GCP)
- Proven leadership and mentoring experience in ML Engineering teams
- Bachelor’s degree in engineering, computer science, physics, or math (Master’s or PhD preferred)
Benefits
Comp & perks- Workday Bonus Plan
- Annual refresh stock grants
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningdeep learningPytorchTensorFlowML modelspredictive analysislarge language modelsgraph neural networkscloud computing
Soft Skills
leadershipmentoring