About the Role
As a Principal 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.
About You
Basic Qualifications
10+ years experience as a member of a 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
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ 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
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.
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 .
Primary Location: USA.WA.SeattlePrimary Location Base Pay Range: $188,000 USD - $282,000 USDAdditional US Location(s) Base Pay Range: $190,600 USD - $342,000 USDPrincipal AI Engineer • Toronto, ON, Canada
At Tangerine, we’re redefining banking.As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head‑on with leading technology and the unstop... Show more
Lead the development of advanced AI inference systems as a Principal Engineer.Design and implement robust platforms for agentic functionality across multiple data modalities.In this pivotal role, y... Show more
Seeking an experienced Principal AI Engineer to define and drive the technical vision for agentic AI, establishing organization-wide standards and delivering scalable AI solutions across multiple a... Show more
The Principal Engineer (AI) is the highest-ranking individual contributor, with deep expertise in artificial intelligence, including large language models, machine learning, generative AI, Agentic ... Show more
Drive innovation in fintech as a Principal Engineer focusing on AI integration.Work in a hybrid setting from Downtown Toronto or North York and make a significant impact.Our client, a leader in fin... Show more
Become a Principal Engineer for Financial AI Systems at Alloy River, based in Toronto.This full-time, on-site position focuses on designing critical architecture for AI-enhanced financial processes... Show more
Develop AI features for platform.Design, code, test, and document new components.Troubleshoot code problems and contribute to technical roadmap. Show more
OpenText is a global leader in information management, focusing on AI‐powered solutions.The Cloud Services organization is seeking a Principal Artificial Intelligence Engineer to lead agentic AI sy... Show more
Lead the design and reliability of a global financial data extraction platform, focusing on AI-driven solutions and system architecture for a leading data intelligence firm. Show more
Principal Enterprise Architect, AI Platform.Location: Hybrid (Two days in-office).The Principal Enterprise Architect for the AI Platform is a high‑impact leadership role responsible for setting the... Show more
Lead AI Engineer role focused on production model deployment, requiring strong software engineering, AI/ML systems, and MLOps experience.Responsibilities include leading projects, iterating on PoCs... Show more
Join CPP Investments as a Principal Engineer specializing in AI & Emerging Technologies, focusing on scalable, impactful solutions.Your leadership will directly contribute to cutting-edge AI advanc... Show more
Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency inve... Show more
Lead the development of advanced AI inference systems as a Principal Engineer.Design and implement robust platforms for agentic functionality across multiple data modalities.In this pivotal role, y... Show more
At Tangerine, we’re redefining banking.As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head‑on with leading technology and the unstop... Show more
At Tangerine, we’re redefining banking.As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head‑on with leading technology and the unstop... Show more
Lead the architectural advancements of Agentic AI as a Principal Engineer.Oversee innovative projects in reinforcement learning and multi-agent systems to create scalable solutions.You will act as ... Show more
This role involves architecting and scaling AI features using React, Java, and Python, enhancing recommendation engines, and leading a team in developing cutting-edge AI tools for biotech. Show more
OpenText is a global leader in information management, focusing on AI‑powered solutions.The Cloud Services organization is seeking a Principal Artificial Intelligence Engineer to lead agentic AI sy... Show more
Lead the design and reliability of a global financial data extraction platform, focusing on AI-driven solutions and mentoring engineers. Show more
