Jobs at Workday

Lead cross-functional teams to build and operate AI-powered HR and finance agents integrated into the Workday platform. Own design, development, production operations, mentor engineers, and implement scalable, observable SaaS solutions using modern full-stack and cloud technologies.

As a Fullstack Software Engineer, you'll collaborate with multi-functional teams to enhance AI-driven solutions, participate in software development best practices, and take ownership of various platform functional areas.

Lead and grow a software engineering team building enterprise contract-management AI products. Partner with product, ML, and design to deliver scalable SaaS solutions, own platform performance and operations, recruit and mentor engineers, and drive AI initiatives (LLMs, agents, RAG) with strong devops, testing, and observability practices.

As a Fullstack Software Engineer, you'll enhance Evisort's AI-driven contract management platform by collaborating with cross-functional teams and taking ownership of multiple functional areas from development to production.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

As an Account Executive, you'll drive new customer growth by developing strategies, managing deals, and negotiating with C-level executives to sell Workday solutions in the Canadian Public Sector.

Lead a team of engineers developing the Agent Platform for AI agents. Responsibilities include roadmap execution, system design, best practices, and team development.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

The role involves designing, developing, and deploying scalable machine learning models and AI systems, focusing on end-to-end ownership of the ML lifecycle, collaborating cross-functionally, advocating for technical excellence, and mentoring junior engineers while championing Responsible AI practices.

The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.

Manage and grow strategic major accounts within Workday's customer base by driving add-on, renewal, and upsell opportunities. Perform account planning, coordinate cross-functional resources, manage long sales cycles, and build executive-level relationships to position Workday solutions and meet quota.

Lead technical direction and implementation of a large-scale AI model serving platform. Design, build, and operate distributed systems (Ray/Ray Serve), ensure scalability, reliability, monitoring (Prometheus), CI pipeline robustness, and evolve the production model registry while collaborating with ML engineers and stakeholders.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.

Serve as primary technical liaison for Workday integration engagements: design, build, test, deploy and support Workday integrations (Recruiting focus). Lead client solution design, mentor consultants, improve integration patterns and tooling, and support pre-sales through post-sale activities.