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Senior Manager, Machine Learning Engineering - Evisort

Job in Toronto, Ontario, C6A, Canada
Listing for: Workday
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

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 groundbreaking 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 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

We are seeking a highly skilled and visionary Senior Manager to lead the development for Evisort. You will be responsible for building and mentoring a high-performing machine learning engineering team, driving technical excellence and ensuring the delivery of robust, scalable and secure AI agent solutions that seamlessly integrate with our Workday ecosystem and deliver outstanding experiences for our customers.

Responsibilities
  • Build, lead, and mentor a team of exceptional AI agent engineers.
  • Ensure timely project delivery to exceptional standards of our AI agents.
  • Work closely with product managers, data scientists and other stakeholders to translate business requirements into technical solutions.
  • Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform.
  • Foster a culture of innovation, collaboration and continuous improvement and learning.
  • Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., Lang Graph).
  • Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies.
  • Ensure all AI solutions adhere to data privacy, security, and compliance standards.
  • Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability.
  • Ensure the scalability, reliability, and security of AI agent solutions within the Workday environment.
About You

Basic Qualifications:

  • 5+ years of experience in machine learning engineering leadership, with a strong focus on AI/ML and cloud-based systems.
  • 10+ years of experience with design and development for mission critical systems at scale.

Other

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
  • Proven ability to seek out and hire the highest performing professionals to build cutting edge products built on AI.
  • Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
  • Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
  • Strong problem-solving, communication, and collaboration skills.
  • Experience with the Workday platform is a strong…
Position Requirements
10+ Years work experience
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