Software Development Engineer - Document Intelligence

Workday • Pleasanton, CA

7d • $123,900 - $222,000 • Hybrid

About The Position

This is an exciting opening in the AI Platform team within the Document Intelligence group. The Document Intelligence team focuses on building AI/ML-powered solutions to extract actionable insights from unstructured documents. They design scalable document processing pipelines capable of ingesting and interpreting large volumes of data with minimal manual intervention. Their work involves advanced document parsing using NLP, computer vision, and large language models (LLMs), alongside in-house model training for entity resolution. These solutions integrate seamlessly with business workflows in areas such as financials and spend management. The team continuously evolves its models to handle new document types and edge cases, thereby automating and accelerating critical business processes across the organization. The AI Platform organization at Workday is dedicated to bringing "AI first" products to life across the entire Workday product offering. They are seeking highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to address a range of challenges.

Requirements

• 5+ years experience in software development engineering including designing, developing, and deploying software solutions.
• 2+ years of experience in Python, with a consistent track record of shipping production code and systems.
• 2+ years of experience building scalable data pipelines and working with large-scale datasets.
• 2+ years of validated experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps.
• Bachelor’s degree in a relevant field such as Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Solid ability in Algorithmic Thinking to design and implement efficient solutions for agentic system development.
• Expertise in the engineering, deployment, and MLOps of advanced machine learning solutions (e.g., generative models, LLMs, RAG, and AI agents), coupled with a strong understanding of scalable distributed systems, performance optimization, database technologies (e.g., PostgreSQL, Redis), and robust API development.
• Validated algorithmic thinking and a proven history designing, implementing, and analyzing efficient algorithms for complex problems.
• Demonstrated ability to build flexible, reusable, and well-documented software components, with comprehensive experience in code testing strategies (unit, integration, end-to-end) in a continuous deployment environment.
• Strong sense of ownership and a proven ability to deliver high-quality, finished products efficiently.
• Excellent communication and collaboration skills, emphasizing team collaboration, knowledge-sharing, and delivering customer impact.

Responsibilities

• Implement AI Platforms: Develop and maintain sophisticated AI platform capabilities, focusing on patterns like tool calling, multi-agent architectures, and human-in-the-loop integrations. Write clean, performant code to ensure these systems are resilient in production.
• Build ML Infrastructure: Develop and deploy secure, RESTful web services using Python and Kubernetes. Contribute to the development of multi-tenant runtime architectures that enable fast inference and scale to millions of users.
• Collaborative Engineering: Participate in design reviews and code quality initiatives. Apply software development best practices to ensure the codebase remains maintainable, testable, and efficient.
• Translate Requirements: Work with cross-functional teams to turn product requirements into functional technical designs.
• Apply MLOps Standards: Utilize industry-standard practices, including automation, observability, and CI/CD, to deliver high-quality ML solutions.
• Continuous Learning: Stay current with evolving AI/ML technologies and contribute to the team’s collective knowledge.

Benefits

• Workday Bonus Plan
• Role-specific commission/bonus
• Annual refresh stock grants
• Comprehensive benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior