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. We're in this together, tackling big challenges with bold ideas and genuine care. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday's CLM and Contract Intelligence offerings. We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process from drafting, negotiating, reviewing, approving, or managing the contracts happen faster, better, with reduced risks. We build AI first products, and automate manual work, freeing up our customers time and accelerating their businesses. You will be joining the Evisort AI team, which functions as a startup within Workday. This is your opportunity to build at the pace of innovation of a startup, while backed by the enormous support and impacting Workday's incredible customer base of 70M+ users. 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 recent products at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers. In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You also should have a product approach and strong intuition around how AI can drive a better customer experience. 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. Strong fundamental software engineering skills (system design, scalability, and performance optimization) are a non-negotiable primary qualification for this role. ~3+ years of experience integrating AI capabilities (LLMs, Foundation Models) into enterprise products, framed within the context of robust software service extensions. ~1-2+ years building with AI orchestration frameworks (e.g., AWS, GCP, Azure) to deploy highly responsive, scalable systems. ~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. Proven ability to architect robust application layers that wrap around AI models, establishing reusable patterns for system predictability, error handling, and seamless UX integration. assessing retrieval quality and agentic behavior). Hands‑on experience with production observability and monitoring tooling (e.g., LaunchDarkly) to safely roll out, A/B test, and decommission changes, including flag lifecycle and cleanup discipline Familiarity with data persistence and async processing
- relational databases and schema migrations (e.g., PostgreSQL), caching (e.g., A track record of writing well‑tested, maintainable production code with attention to code quality, security scanning, and dependency hygiene (e.g., unit/integration tests, SonarQube, dependency tooling) Familiarity with full‑stack development
- building web UIs (e.g., React, TypeScript) and backend services/REST APIs in Python (e.g., FastAPI, Django) Technical Leadership & Mentorship: Proven track record of technically leading engineering workstreams, taking ownership of the development lifecycle, and mentoring junior-to-mid level engineers. Excellent interpersonal skills, with a knack for bridging the gap between product management, design, and foundational ML infrastructure teams. Highly autonomous builder capable of taking open-ended product goals and breaking them down into concrete, scalable engineering realities. Workday Pay Transparency Statement Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a rol

📌 Senior AI Engineer (Vancouver)
🏢 Workday
📍 Vancouver