Principal AI Engineer — Production-Ready AI Architect

Workday; Toronto; Hybrid; CAD 150,000 - 230,000; Full time

Job summary

Workday’s Architecture & AI (AAI) organization is seeking a Principal AI Engineer to own the technical path for internal AI agents from prototype to production on Databricks and AWS.

You will design the architecture, build reference implementations, and run readiness reviews with security, SRE, and data teams while partnering with business stakeholders; this is a hybrid Toronto-based role with strong Python, IaC, and CI/CD expertise.

Qualifications

• 8+ years of Data & AI application development in Python, IaC and CI/CD environments.
• 8+ years modern data stack experience with Databricks, AWS, Snowflake, GCP.
• 6+ years of professional experience with LLM applications in cloud stacks.
• Excellent verbal and written communication skills.
• Ability to translate platform constraints to business decisions.
• Willing to report up to Toronto office 50%.

Responsibilities

• Define and enforce production-readiness standards for AI apps.
• Own architecture patterns across Databricks and AWS.
• Build prototypes and re-architect AI-generated apps into services with production state.
• Diagnose failures and drive blockers with cross-functional partners.
• Run design and readiness reviews with platform, data, security and SRE teams.
• Engage with business teams to translate needs into platform designs.

Skills

Data & AI Dev

Communication skills

LLM applications

Business collaboration

Tools

Databricks

AWS

Snowflake

GCP

Python

CI/CD

IaC

Job description

Workday’s Architecture & AI (AAI) organization is seeking a Principal AI Engineer to own the technical path for internal AI agents from prototype to production on Databricks and AWS.

You will design the architecture, build reference implementations, and run readiness reviews with security, SRE, and data teams while partnering with business stakeholders; this is a hybrid Toronto-based role with strong Python, IaC, and CI/CD expertise.