Manager, AI Agents – HR & Finance AI

Job Description

Manager, Machine Learning Engineering – Agent Factory | Workday

The Tone:
This is a full-time role at Workday, located in Vancouver, BC, operating under a hybrid work model. Workday is a leading AI platform for managing people, money, and agents, actively shaping the future of work. This role is central to Workday’s next chapter, developing production-grade AI agents for HR and Finance that are deeply embedded into the platform and used by millions of people daily. The company fosters a culture rooted in integrity, empathy, and shared enthusiasm, tackling big challenges with bold ideas and genuine care. Workmates are encouraged to be curious minds and courageous collaborators who bring optimism and drive, supported with trust, tools, and long-term investment.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Hybrid – Vancouver
• Pay: $169600–$254400 yearly
• Team: Agent Factory, leading an engineering team
• Mission: Lead the development of AI agents for our HR and Finance business, ensuring robust, scalable, and secure solutions that integrate with the Workday ecosystem and deliver outstanding customer experiences.
• Tech Stack: LLMs, RAG, orchestration frameworks (e.g., LangGraph)

What You’ll Actually Do
• Team Leadership: Build and mentor an exceptional engineering team, driving technical excellence and continuous learning.
• Project Delivery: Oversee the timely delivery of AI agents, ensuring they meet exceptional standards of quality and performance.
• Technical Translation: Translate complex business requirements into robust technical solutions, collaborating closely with product managers and data scientists.
• Platform Integration: Collaborate with architects and principal engineers to ensure seamless integration of AI agents with the Workday platform.
• AI Innovation & Standards: Evaluate and integrate cutting-edge AI technologies, while ensuring solutions adhere to data privacy, security, and compliance standards.

The Must-Haves
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a focus on engineering leadership in AI/ML and cloud-based systems.
• Experience: 7+ years of engineering experience and 3+ years of engineering leadership, delivering products at scale. Proven ability to seek out and hire high-performing professionals for cutting-edge AI product development.
• Skills: Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks; experience with enterprise-grade AI architectures, API integration, and large-scale automation; strong problem-solving, communication, and collaboration skills.
• Bonus: Experience with the Workday platform.