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Workday

Senior Manager, Machine Learning Engineering - Evisort

Reposted 8 Days Ago
Be an Early Applicant
In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
Lead the development of AI agent solutions, manage a machine learning engineering team, and ensure project delivery and integration with Workday.
The summary above was generated by AI

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

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., LangGraph)

  • 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 plus.


Workday Pay Transparency Statement 

The annualized base salary ranges for the primary location and any additional locations are listed below.  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 click here.

Primary Location: CAN.BC.Vancouver

Primary CAN Base Pay Range: $196,000 - $294,000 CAD

Additional CAN Location(s) Base Pay Range: $196,000 - $294,000 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
[email protected].

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Top Skills

AI
Api Integration
Cloud-Based Systems
Llms
Machine Learning
Orchestration Frameworks
Rag
Workday Platform

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