AI Engineer/Senior AI Engineer - Evisort
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Key skills for this role
About the Role
Workday's Evisort AI team is seeking an AI Engineer to develop tailored user experiences using advanced LLMs, Knowledge Graphs, and predictive analysis. You will collaborate to deliver AI solutions across Workday's product ecosystem.
Key Skills for This Role
Responsibilities
- Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
- 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 and deploy new products at scale
- Leverage Workday's vast computing resources on rich datasets to deliver transformative value to customers
- Contribute to feature and service development with a focus on quality, scale, and security
Requirements
- 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale
- 2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
- 2+ years of professional experience in building services to host machine learning models in production at scale
- 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real world use cases
- 2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Bachelor’s degree in engineering, computer science, physics, math or equivalent
- Product First AI Mindset (for Sr. level)
- System Design & Reusability (for Sr. level)
- Hands on experience with production observability and monitoring tooling (for Sr. level)
- Experience using feature flag/experimentation platforms (for Sr. level)
Full Job Posting
Your work days are brighter here.
- We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
- As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work.
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.
- 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.
- You will develop and deploy new products at scale.
Basic Qualifications AI Engineer
- 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale.
- 2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow.
- 2+ years of professional experience in building services to host machine learning models in production at scale.
- 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models.
- 2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.).
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent.
Basic Qualifications Sr. AI Engineer
- 8+ years of professional experience in software engineering and product building.
- 3+ years of hands on experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user facing enterprise products.
- Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field.
- Product First AI Mindset.
- System Design & Reusability.
- Experimentation & Evaluation.
- Hands on experience with production observability and monitoring tooling.
- Experience using feature flag/experimentation platforms.
- Familiarity with data persistence and async processing.
- A track record of writing well tested, maintainable production code.
- Familiarity with full stack development.
- Technical Leadership & Mentorship.
Workday Pay Transparency Statement
- Primary Location Base Pay Range: CAD 128,000 CAD 192,000.
- Primary CAN Base Pay Range: CAD 138,000 CAD 208,000.
Our Approach to Flexible Work
- With Flex Work, we spend at least half (50%) of our time each quarter in the office or in the field.
- This means you'll have the freedom to create a flexible schedule.
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