At a Glance
- Tasks: Build and operate AI-powered products using advanced technologies for contract intelligence.
- Company: Join a Fortune 500 company shaping the future of work with innovative AI solutions.
- Benefits: Enjoy competitive salary, career growth, and a supportive team environment.
- Other info: Dynamic startup-like team within a large company, fostering innovation and collaboration.
- Why this job: Make a real impact by developing cutting-edge AI solutions that transform business processes.
- Qualifications: 8+ years in software engineering with strong backend and AI integration experience.
The predicted salary is between 121500 - 148500 $ per year.
You’ll build and operate AI-powered products for Workday’s contract intelligence offerings, using large language models and related systems to deliver tailored user experiences. The role combines backend and distributed-systems engineering with AI integration, deployment, evaluation, and production operations.
Skills and expertise
- Large language models
- LangChain
- LlamaIndex
- Distributed systems
- Python
- Docker
- Kubernetes
- AWS
Key responsibilities
- Develop and deploy AI-powered products and services across Workday’s product ecosystem.
- Build reliable AI workflows and application layers, and evaluate model outputs against product requirements.
- Operate scalable AI pipelines and production services, emphasizing quality, security, and continuous improvement.
About the Team
Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday's CLM and Contract Intelligence offerings. Our mission is to change the way business deals get done. We build groundbreaking AI technology that can read and understand contract language to make every part of the deal-making process happen faster, better, with reduced risks. You will be joining the Evisort AI team, which functions as a startup within Workday.
About the Role
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.
About You
Basic Qualifications
- 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).
Other Qualifications
- 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.
Senior AI Engineer in Vancouver employer: We Love AI Jobs
At Workday, we pride ourselves on fostering a vibrant work culture that champions integrity, empathy, and collaboration. As a Senior AI Engineer in Vancouver, you'll not only have the opportunity to innovate within a supportive team but also benefit from our commitment to employee growth through continuous learning and development. With access to cutting-edge technology and a Fortune 500 backing, you can expect a fulfilling career where your contributions truly matter.
