Software Development Engineer - AI Core (python)

Workday Workday · Enterprise · Atlanta, GA +2

Software Development Engineer on the AI Core team responsible for designing, building, and operating software systems that host, run, and scale AI-powered applications. This includes writing production-grade backend services, designing APIs, building data ingestion pipelines, applying distributed systems principles, and ensuring enterprise requirements for security, privacy, robustness, and compliance are met.

What you'd actually do

  1. Work closely with machine learning engineers to write and maintain production-grade backend services that power AI-driven capabilities and agent applications
  2. Design and implement APIs and service integrations that enable AI capabilities to be consumed across Workday products and platforms
  3. Build and operate data ingestion and ETL pipelines that support AI application workflows
  4. Apply distributed systems principles in production to address scalability, concurrency, fault tolerance, and performance challenges
  5. Ensure systems meet enterprise requirements for security, privacy, robustness, and compliance

Skills

Required

  • Python development
  • object-oriented design principles
  • advanced Python concepts
  • clean, testable, and well-structured code
  • Deep systems knowledge
  • Unix/Linux environments
  • command-line tooling
  • practical networking fundamentals
  • distributed systems concepts
  • design and build well-defined, stable APIs
  • build ETL pipelines
  • PySpark
  • cloud and container platforms
  • containerized workloads
  • orchestration systems
  • AWS or GCP
  • Docker
  • Kubernetes
  • collaboration across teams
  • Ownership mindset
  • Architectural thinking skills
  • communicate complex technical concepts

Nice to have

  • AI-powered software
  • agentic reasoning
  • enterprise-scale systems
  • AI platform capabilities
  • differentiated, deep-value agent applications

What the JD emphasized

  • production-grade backend services
  • enterprise requirements for security, privacy, robustness, and compliance
  • full lifecycle

Other signals

  • AI-powered software
  • AI Platform organization
  • AI-driven capabilities
  • agent applications
  • AI Core team