Principal Developer of Agentic AI Engineering, Workday

• 8+ years of experience with product engineering leading the development and delivery of highly available cloud products
• 5+ 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
• Hands-on experience with vector databases, retrieval-augmented generation (RAG), and fine-tuning LLMs
• 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
• Bachelor's degree in a relevant field, such as 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
• Experience with fine-tuning models including identifying and curating datasets as well as experimenting with models for iterative improvement
• Strong problem-solving skills with the ability to translate business requirements into AI-powered solutions
• Excellent communication skills with the ability to clearly articulate complex technical ideas
• Highly motivated, with a strong sense of ownership and urgency
• Resilient and resourceful—able to navigate obstacles and solve problems independently

• We are seeking an experienced AI Agent Principal Engineer to help build transformative agentic AI systems
• This role is critical to implementing tooling strategies, staying ahead of industry trends, and ensuring our AI-driven solutions integrate seamlessly within the Workday ecosystem
• You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and leveraging LLMs, automation frameworks, and enterprise AI technologies to design and develop scalable, reliable and trusted AI agents for internal use
• Understanding of AI Lifecycle: Comprehensive knowledge of the AI system lifecycle, including 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
• Work with product, engineering, and data science teams to design and implement AI-based automation solutions that enhance HR and financial operations
• Collaborate with external AI vendors, cloud providers, and open-source communities to bring the best-in-class technologies into our AI stack
• Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time

• Company equity
• Vision and dental insurance
• Work from home opportunities
• Health insurance
• Virtual primary care
• Flexible time-off policy
• Global mental health resources
• Global dedicated on-site clinical counselors
• Global well-being days
• $25k fertility/family planning benefits
• North Star financial wellness
• Retirement funds and matching

Total funding: $215.3m

Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.