Senior AI Engineer - Evisort AI (Vancouver)

Senior AI Engineer - Evisort AI (Vancouver)

17 Sep
|
Workday
|
Vancouver

17 Sep

Workday

Vancouver

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.

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. 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 a Senior AI Engineer, your primary focus will be building AI features and intelligent agents specifically for the Contract Lifecycle Management (CLM) domain, though you will also be expected to contribute to other areas of the product as needed. While AI development is the primary deliverable, this is first and foremost a software engineering role requiring deep expertise in backend architecture and distributed systems.

By leveraging Workday's rich datasets and computing resources,



you will build the robust infrastructure necessary to deliver transformative AI value to our customers at scale. 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.

A key component of this role is the continuous evaluation and improvement of the customer experience with AI agents. You will be required to rigorously assess agents' performance and user interactions to ensure our intelligent solutions are meeting user’s needs. Furthermore, you will actively work to integrate these agents into the broader Workday agents ecosystem, ensuring seamless interoperability and consistent AI value across the entire Workday platform. 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 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., 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 role-specific commission/bonus, as well as annual refresh stock grants. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location Base Pay Range: $169,000 CAD - $253,000 CAD Primary CAN Base Pay Range: $169,000 - $253,000 CAD Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a robust community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).

This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. If you require a reasonable accommodation, you may email [email protected] so, ask your connection at Workday about our Employee Referral process! , #

📌 Senior AI Engineer - Evisort AI (Vancouver)
🏢 Workday
📍 Vancouver

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