Description
We’re Workday, a Fortune 500 company and a leading AI platform for managing people, money, and agents. We're looking for an AI Engineer to join our Evisort AI team, which powers Document Intelligence AI and Workday's CLM and Contract Intelligence offerings.
As an AI Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver AI solutions across Workday's product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various AI pipelines.
Responsibilities
- Develop and deploy new products at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers.
- Collaborate with other engineers to deliver AI solutions across Workday's product ecosystem.
- Utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various AI pipelines.
- Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.
Requirements
- 8+ years of professional software engineering experience, with a heavy emphasis on backend architecture, distributed systems, and a proven track record of shipping high-availability production code at scale.
- 3+ years of experience integrating AI capabilities (LLMs, Foundation Models) into enterprise products.
- 1-2+ years building with AI orchestration frameworks (e.g., LangChain, LlamaIndex).
- 4+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP, Azure).
- 2+ years of hands-on experience deploying and operating services in containerized, cloud-native environments (Docker, Kubernetes).
Nice to Have
- Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field.
- Product-First AI Mindset: Deep focus on business value, user experience, and applying deep learning or large models directly to solve practical end-user challenges.
- System Design & Reusability: Proven ability to architect robust application layers that wrap around AI models.
- Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements.
- Hands-on experience with production observability and monitoring tooling (e.g., Prometheus/Grafana, OpenTelemetry, Sentry, Datadog).
Benefits
- Annualized base salary range: $169,000 - $253,000 CAD.
- Workday Bonus Plan or a role-specific commission/bonus.
- Annual refresh stock grants.
- Comprehensive benefits.
- Flexible work arrangements: spend at least half (50%) of your time each quarter in the office or in the field.