Principal AIML Engineer

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

As a Principal AI Engineer in Agent Factory you will lead the end-to-end system design architectural framework and product integration of Workdays next generation of intelligent agents. While our ML Engineers focus on building training and optimizing foundational algorithms your mission is intelligence orchestration and product delivery connecting the brain to the product.

Sitting at the intersection of AI capabilities enterprise platforms and human workflows you will architect how foundational models are safely and reliably integrated into functional production-grade software. You will own the design experimentation and orchestration of complex agentic workflows translating cutting-edge AI capabilities into enterprise-grade business value. Because these agents interact with sensitive HR and financial data at a global scale you will be a core champion for Responsible and Governed AIarchitecting systems with strict guardrails for data privacy predictability and explainability. This role requires a balance of high-level system design and hands-on execution solving critical product constraints like latency cost and reliability.

About You

Basic Qualifications

• 10 years of professional software engineering experience with deep expertise in distributed systems cloud computing and API design plus 2 years of dedicated focus building production-grade LLM/agentic systems OR 7 years of experience specifically within Machine Learning Engineering or AI application development with 3 years dedicated to shipping LLM-backed products.

• 3 years of hands-on experience integrating large models (LLMs Foundation Models) and modern AI APIs into user-facing enterprise products.

• 2 years of experience designing and scaling complex AI orchestration architecturesincluding multi-agent frameworks routing layers and advanced RAG pipelines.

• 6 years of experience optimizing application performance (specifically tackling constraints like API latency and user interaction design) with 2 years applied to modern LLM constraints (such as token management cost optimization and context-window efficiency).

• 6 years of proven experience leveraging cloud computing platforms (e.g. AWS GCP) to deploy highly responsive scalable systems.
  

Other Qualifications

• Bachelors degree (Masters preferred) in Computer Science Software Engineering or equivalent technical field.

• Responsible AI Stewardship: Deep understanding of how to implement governance guardrails security layers and evaluation mechanisms necessary when deploying autonomous agents over sensitive enterprise HR and financial data.

• Proven track record of technically leading cross-functional pods mentoring senior engineers and steering the product development lifecycle from abstract concept to successful deployment.

• Product-First AI Mindset: Deep focus on business value user experience and applying deep learning/large models directly to solve practical end-user challenges.

• System Design & Integration: Expert-level ability to architect robust application layers that wrap around AI models ensuring system predictability error handling and seamless UX integration.

• Experimentation & Evaluation: Skilled in rapid prototyping benchmarking model outputs against product requirements and managing continuous experimentation cycles for agentic behavior.

• Thrives in Ambiguity: Highly autonomous leader capable of taking complex open-ended product goals and turning them into scalable concrete engineering realities.

Workday Pay Transparency Statement (For EU Locations Only)

Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills and educational qualifications level of responsibility demands of the role work location and business need. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workdays comprehensive benefits please click here.

Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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