Senior AI Engineer - Evisort AI

Workday, Inc.; Vancouver; On-site; CAD 169,000 - 253,000; Full time

Job summary

Workday, Inc. is seeking an AI Engineer in Vancouver to develop tailored user experiences using large language models, knowledge graphs, and personalization.

You will collaborate with engineers to deliver AI features across Workday product ecosystems and manage training, deployment, and lifecycle of AI pipelines. You will apply best practices for performance, reliability, and security, while driving continuous improvement and strong ownership.

Qualifications

• 8+ years of software engineering and product-building experience.
• 3+ years integrating large models (LLMs) into enterprise products.
• 1–2+ years with AI orchestration frameworks and prompt engineering.
• 4+ years optimizing performance and managing API latency.
• 4+ years deploying in cloud environments (AWS, GCP).
• Hands-on with Docker/Kubernetes and IaC tools.

Responsibilities

• Develop AI solutions using LLMs, Knowledge Graphs, and personalization.
• Collaborate with engineers to deploy AI pipelines across Workday products.
• Ensure quality, scale, and security with a product-focused mindset.

Skills

Software engineering

LLMs integration

Cloud platforms (AWS/GCP)

Kubernetes / Docker

Frontend/backend (React, Python)

Education

Bachelor’s degree (Master’s preferred)

Tools

LangChain

LlamaIndex

Multi‑agent frameworks

Prometheus/Grafana

OpenTelemetry

Sentry

Datadog

LaunchDarkly

Terraform

Helm

ArgoCD

PostgreSQL

Redis

Kafka

SQS

Celery

React

FastAPI

Django

Job description

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. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. 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. 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.

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 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.

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. In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved. You also should have a product approach and strong intuition around how AI can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are essential to succeed in this role.

Basic Qualifications

• 8+ years of professional experience in software engineering and product‑building, with a proven track record of shipping and maintaining production code at scale.
• 3+ years of hands‑on experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user‑facing enterprise products.
• 1–2+ years of hands‑on experience building with modern AI orchestration frameworks (e.g., LangChain, LlamaIndex, or multi‑agent frameworks) and implementing advanced prompt engineering techniques to manage complex agentic workflows.
• 4+ years of experience optimizing application performance, specifically tackling product constraints such as API latency, token management, and user interaction design.
• 4+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP) to deploy highly responsive, scalable systems.
• Hands‑on experience deploying and operating services in containerized, cloud‑native environments (Docker, Kubernetes), with exposure to infrastructure‑as‑code and GitOps tooling (e.g., Terraform, Helm, ArgoCD).

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, establishing reusable patterns for system predictability, error handling, and seamless UX integration.
• Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements, and setting up automated evaluation metrics (e.g., assessing retrieval quality and agentic behavior).
• Hands‑on experience with production observability and monitoring tooling (e.g., Prometheus/Grafana, OpenTelemetry, Sentry, Datadog) to debug, trace, and measure live systems.
• Experience using feature‑flag/experimentation platforms (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., Redis), and message/queue or task workflows (e.g., Celery, Kafka, SQS).
• 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.
• Collaborative Communication: Excellent interpersonal skills, with a knack for bridging the gap between product management, design, and foundational ML infrastructure teams.
• Thrives in Ambiguity: 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. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please. Primary Location: CAN.BC.Vancouver Primary 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 strong 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. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email [e-mail].

Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

You may view the Workday's Pay Transparency Policy, and Know Your Rights Notice.

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 accommodation, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [e-mail], as far in advance as possible.