Senior AI Engineer in Vancouver

Your work days are brighter here. We're 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, we're shaping the future of work so teams can reach their potential and focus on what matters most. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're 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.

About The Team: Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday's CLM and Contract Intelligence offerings. Our mission is to change the way business deals get done. We build groundbreaking AI technology that can read and understand contract language to make every part of the deal-making process happen faster, better, with reduced risks. You will be joining the Evisort AI team, which functions as a startup within Workday.

About The Role: As an AI Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver AI solutions across Workday's product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various AI pipelines. You will develop and deploy new products at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers.

Basic Qualifications:

• 8+ years of professional software engineering experience, with a heavy emphasis on backend architecture, distributed systems, and a proven track record of shipping high-availability production code at scale.
• 3+ years of experience integrating AI capabilities (LLMs, Foundation Models) into enterprise products.
• 1-2+ years building with AI orchestration frameworks (e.g., LangChain, LlamaIndex).
• 4+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP, Azure).
• 2+ years of hands-on experience deploying and operating services in containerized, cloud-native environments (Docker, Kubernetes).

Other Qualifications:

• Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field.
• Product-First AI Mindset: Deep focus on business value, user experience, and applying deep learning or large models directly to solve practical end-user challenges.
• System Design & Reusability: Proven ability to architect robust application layers that wrap around AI models.
• Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements.
• Hands-on experience with production observability and monitoring tooling.
• A track record of writing well-tested, maintainable production code with attention to code quality.
• Familiarity with full-stack development - building web UIs and backend services/REST APIs in Python.
• Technical Leadership & Mentorship: Proven track record of technically leading engineering workstreams.
• Collaborative Communication: Excellent interpersonal skills.
• Thrives in Ambiguity: Highly autonomous builder capable of taking open-ended product goals and breaking them down into concrete, scalable engineering realities.

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