Job Description
Shape the future of AI at Workday as a Principal Machine Learning Engineer. Lead the design and implementation of production-grade ML systems for intelligent agents.
In this senior role within Agent Factory, you will create core ML solutions that drive Workday's next generation of AI capabilities. Collaborating with a cross-functional team, you’ll address challenges from problem framing to deployment, leveraging large language models and orchestration frameworks. Your technical expertise will play a pivotal role in ensuring that solutions are scalable, observable, and integrated seamlessly into Workday’s platform.
Key Responsibilities:
• Design ML systems for intelligent agents' lifecycle
• Implement LLM frameworks and RAG pipelines
• Collaborate with engineering and product teams
• Lead development lifecycle and sprint planning
• Mentor and build a collaborative engineering culture
Requirements:
• 10+ years in applied machine learning engineering
• 4+ yea...
In this senior role within Agent Factory, you will create core ML solutions that drive Workday's next generation of AI capabilities. Collaborating with a cross-functional team, you’ll address challenges from problem framing to deployment, leveraging large language models and orchestration frameworks. Your technical expertise will play a pivotal role in ensuring that solutions are scalable, observable, and integrated seamlessly into Workday’s platform.
Key Responsibilities:
• Design ML systems for intelligent agents' lifecycle
• Implement LLM frameworks and RAG pipelines
• Collaborate with engineering and product teams
• Lead development lifecycle and sprint planning
• Mentor and build a collaborative engineering culture
Requirements:
• 10+ years in applied machine learning engineering
• 4+ yea...
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