Software Development Engineer - Document Intelligence

Workday, Inc.; Pleasanton (CA); Hybrid; USD 148,000 - 222,000; Full time

Job summary

Workday, Inc. is seeking a Software Development Engineer for the Document Intelligence team to build and deploy scalable AI platforms.

You will collaborate with ML researchers to turn innovative concepts into production-ready solutions, emphasizing planning, reasoning, and action execution frameworks. Responsibilities include developing AI platform capabilities, secure RESTful services with Python and Kubernetes, and aligning with cross-functional teams to translate requirements into technical

Qualifications

• 5+ years of software development experience including designing, developing, and deploying software solutions.
• 2+ years of Python experience with production code and systems.
• 2+ years in building scalable data pipelines and large-scale datasets.
• 2+ years deploying production services to cloud platforms (AWS/Azure/GCP) with Docker/Kubernetes for MLOps.

Responsibilities

• Implement AI platforms focusing on tool calling, multi-agent architectures, and human-in-the-loop integrations.
• Build ML infrastructure and secure RESTful microservices using Python and Kubernetes for scalable, multi-tenant runtimes.
• Collaborate in design reviews and code quality initiatives to keep codebase maintainable, testable, and efficient.

Skills

Python

Kubernetes

Docker

Cloud platforms

ML platforms

Education

Bachelor's degree in Computer Science/Engineering

Tools

RESTful APIs

CI/CD

Job description

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 so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. 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. 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. 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.

About the Team This is a very exciting opening in the AI Platform team in our Document Intelligence team. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong. Over 65% of the Fortune 500 are Workday customers. The Document Intelligence team builds AI/ML-powered solutions to extract actionable insights from unstructured documents. We design scalable document processing pipelines that can ingest and interpret large volumes of data with minimal manual intervention. Our work includes advanced document parsing using NLP, computer vision, and large language models (LLMs), along with in-house model training for entity resolution. We integrate seamlessly with business workflows for areas like financials, spend management, and more. By continuously evolving our models to handle new document types and edge cases, we help automate and accelerate critical business processes across the organization. Workday’s AI Platform organization is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of these challenges.

About the Role As a Software Development Engineer for the Document Intelligence team, you will be a key contributor to the team, working closely with senior engineers and ML researchers to build and deploy robust, scalable AI platforms. You will play a vital role in turning innovative ML concepts into production-ready solutions, with a focus on agentic AI capabilities such as planning, reasoning, and action execution frameworks.

• 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. You will write clean, performant code that ensures these systems are resilient in production.
• Build ML Infrastructure: Develop and deploy secure, RESTful web services using Python and Kubernetes. You will 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. You will apply software development best practices to ensure our codebase remains maintainable, testable, and efficient.

You Will Also:

• 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.

About You Basic Qualification:

• 5+ years experience in software development engineering including designing, developing, and deploying software solutions.
• 2+ years experience in Python, with a consistent track record of shipping production code and systems.
• 2+ 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.

Other Qualification:

• 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 track 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.

Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below.

Workday pay ranges vary based on work location.

• Primary Location: USA.CA.Pleasantan
• Primary Location Base Pay Range: $148,000 USD - $222,000 USD
• Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD

Recruiters can share more detail during the hiring process.

Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [e-mail], as far in advance as possible.

Workday is proud to be an equal opportunity workplace.

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We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

You may view the Workday's Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links.