Principal, Software Engineer (Distributed Systems)

Workday•Vancouver, BC

22h•$187,100 - $334,300•Hybrid

About The Position

Workday is seeking an expert AI Agent Principal Engineer to serve as a lead engineer for a multi-functional team building ground-breaking AI agents for HR & Finance. This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI solutions seamlessly integrate deeply within the Workday stack. You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and using LLMs, automation frameworks, and enterprise AI technologies to design and develop scalable, reliable and trusted AI agents for both the HR and Finance. You will lead a team of engineers to quickly iterate on strategic agentic solutions for HR and Finance.

Requirements

8+ years of experience with product engineering leading the development and delivery of highly available cloud products
5+ years proven experience in AI, machine learning, or intelligent automation, with a focus on enterprise applications.
2+ years experience with LLMs, AI agents, and orchestration frameworks (e.g. LangGraph)
5+ years experience with Python, cloud AI services (AWS, Azure, GCP), and AI model deployment.
Bachelor's degree or equivalent experience in a relevant field, such as Computer Science, Mathematics, or Engineering.
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.
Proven track record to tackle sophisticated business challenges by translating them into innovative, AI-powered solutions that drive measurable results
Experience with data privacy, security, and compliance for AI in enterprise environments
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 AI models including identifying and curating datasets as well as experimenting with models for iterative improvement

Responsibilities

Lead a high performing team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
Understanding of AI Lifecycle: Extensive 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 innovate 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.
Committed to revolutionizing the industry with AI technologies in HCM and Financial systems.
Building responsible AI into our Agent Factory pipeline supporting various systems.