Senior AI Engineer

Workday, Inc.; Vancouver; On-site; CAD 169,000 - 270,000; Full time

Benefits offered by this job

Health insurance

Job summary

Workday, Inc. is seeking an AI Engineer in Agent Factory to design and build core ML systems behind Workday’s next generation of AI agents.

You’ll work in a senior cross-functional pod to productionize models, agent logic, and orchestration layers across the lifecycle from data strategy to deployment and monitoring. You’ll evolve frameworks for LLM-powered agents, including RAG pipelines and workflow orchestration, ensuring scalable, observable, enterprise-ready solutions.

Qualifications

• 7+ years building applied ML products at scale, from design to production.
• 3+ years of ML/DL frameworks such as PyTorch or TensorFlow.
• 4+ years deploying ML models in production-scale services.
• 2+ years working with large language models (LLMs) or related architectures.
• 4+ years of experience with cloud platforms (AWS, GCP).
• Proven track record leading ML engineering teams and sprint planning.
• Bachelor’s degree in engineering, CS, physics, math, or equivalent.

Skills

AI engineering

Machine learning

Deep learning

LLMs

Cloud computing

Leadership

Communication

PyTorch

TensorFlow

Education

Bachelor's degree in engineering / CS / physics / math

Tools

PyTorch

TensorFlow

Job description

About the Team

Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross‑functional AI teams that bring together product leaders, machine learning engineers, and full‑stack builders to create intelligent agents used by millions of people every day. This is production‑grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.

About the Role

As an AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross‑functional pod, you’ll own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement. You’ll implement and evolve frameworks for LLM‑powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise‑ready. This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack. You’ll stay hands‑on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale.

Basic Qualifications

• 7+ years experience as a member of an AI engineer, data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production‑based evaluation
• 3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
• 4+ years of professional experience in building services to host machine learning models in production at scale
• 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real‑world use cases
• 4+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
• Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement
• Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Other Qualifications

Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation. Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases. Professional experience in independently solving ambiguous, open-ended problems and technically leading teams. Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders.

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. 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 click here.

Primary Location: CAN.BC.Vancouver

Primary Location Base Pay Range: $180,200 CAD - $270,200 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, by clicking on their corresponding links.

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.