Software Engineer Ai Jobs in Remote, USA ; Remote, Canada
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Remote, USA ; Remote, Canada
Senior Software Engineer (AI Core, Python)
Canada, BC, Vancouver, Canada {{REMOTE}}
Senior Level
Full-Time
About the role
- As a Senior Software Development Engineer on the AI Core team, you will be primarily responsible for designing, building, and operating the software systems that host, run, and scale AI-powered applications at Workday. Specifically, you will:
- Work closely with machine learning engineers to write and maintain production-grade backend services that power AI-driven capabilities and agent applications
- Design and implement APIs and service integrations that enable AI capabilities to be consumed across Workday products and platforms
- Build and operate data ingestion and ETL pipelines that support AI application workflows
- Apply distributed systems principles in production to address scalability, concurrency, fault tolerance, and performance challenges
- Ensure systems meet enterprise requirements for security, privacy, robustness, and compliance
- Own services through their full lifecycle, including deployment, monitoring, debugging, and ongoing operational improvements- Whether you’re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back
- So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too
- We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive
- In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul
- You are a strong technical leader with deep Python expertise and solid software engineering skills, capable of writing beautiful, well-designed code while delivering solutions efficiently
- Understanding of object-oriented design principles and ability to apply them in a Python context
- Proficiency with cloud and container platforms, including containerized workloads and orchestration systems (e.g., AWS or GCP, Docker, Kubernetes)
- 8+ years of professional software development experience, including architecting, building, and scaling secure, robust, and efficient software systems
- Technical Skills:
- Ability to collaborate effectively across teams, working closely with other engineers while maintaining independent execution
- 5+ years of experience with Python development
- Ability to mentor and coach other engineers, promoting best practices and raising the engineering bar
- Proficiency with advanced Python concepts, such as asynchronous and concurrent programming, generators, and higher-order abstractions
- Deep systems knowledge, including comfort operating in and debugging Unix/Linux environments, fluency with command-line tooling, and understanding of practical networking fundamentals
- Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience
- Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Ability to write clean, testable, and well-structured code, with high standards for clarity, aesthetics, and long-term maintainability
- Understanding of distributed systems concepts, including concurrency, fault tolerance, and performance tradeoffs
- Ownership mindset, able to take responsibility for a work area and deliver high-quality, reliable systems
- Architectural thinking skills, with the ability to contribute meaningful ideas and practical solutions in design and architecture discussions
- Leadership and Communication Skills:
- Ability to design and build well-defined, stable APIs and service interfaces for consumption by other teams and systems
About Workday
Software Development
10,000+
Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing world. Workday applications for financial management, human resources, planning, spend management, and analytics are built with artificial intelligence and machine learning at the core to help organizations around the world embrace the future of work. Workday is used by more than 10,000 organizations around the world and across industries – from medium-sized businesses to more than 50% of the Fortune 500.