Sr Principal AI Engineer

About the Team Join the AI Agent Engineering team, where we’re pioneering cutting‑edge HR & Finance AI agents that deeply integrate within the Workday suite. We’re building an innovative, agile force that architect intelligent agents to revolutionize our customers' workday. About the Role We are seeking an experienced Senior Principal AI Engineer who will serve as a technical architect for a cross‑functional team building transformative AI agents for HR & Finance. The role is critical in defining tooling strategy, staying ahead of industry trends, and ensuring our AI‑driven solutions seamlessly integrate deeply within the Workday stack. Key Responsibilities Architect AI‑powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making. Apply comprehensive knowledge of the AI system lifecycle: problem definition, data acquisition, model training, system integration, and validation. Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance. Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation. Define best practices for agent design, security, and governance in AI‑driven enterprise applications. Work with product, engineering, and data science teams to design and implement AI‑based automation solutions that enhance HR and financial operations. Develop strategies for multi‑agent collaboration, ensuring AI agents can work together and interact effectively with users and across the business. Identify new opportunities to embed AI into the Workday platform. Collaborate with external AI vendors, cloud providers, and open‑source communities. Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time. Basic Qualifications 12+ years of experience with product engineering leading the development and delivery of highly available cloud products. 7+ years of experience in AI, machine learning, or intelligent automation, with a focus on enterprise applications. Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g., LangGraph). Experience with enterprise‑grade AI architectures, API integration, and large‑scale automation. Proficiency in Python, cloud AI services (AWS, Azure, GCP), and AI model deployment. Strong problem‑solving skills and the ability to translate business needs into AI‑powered solutions. Experience in data privacy, security, and compliance for AI in enterprise environments. Other Qualifications Masters or Doctorate degree in Computer Science, Mathematics, or Engineering. Experience developing and deploying machine learning solutions using large‑scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring. Hands‑on experience with vector databases, retrieval‑augmented generation (RAG), and fine‑tuning LLMs. Experience with fine‑tuning models, including identifying and curating datasets and experimenting with models for iterative improvement. Compensation Base salary range: $274,000 USD – $412,000 USD for primary location Seattle, WA. Additional US locations: $249,000 USD – $443,000 USD. Components may include the Workday Bonus Plan, role‑specific commission/bonus, and annual refresh stock grants. Flexible Work We combine in‑person time and remote work. We expect at least 50% of our time each quarter spent in the office or with customers, prospects, or partners, but we allow flexible schedules that balance business, team, and personal needs. Equal Opportunity Employer Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. We consider qualified applicants with arrest and conviction records pursuant to Fair Chance law. We provide accommodation support and encourage applicants to contact View email address on click.appcast.io for assistance. #J-18808-Ljbffr Workday, Inc.