Mid/Senior Software Engineer, Workday
Gen AI
$171.6-257.4k
Office located in Boulder, CO
Enterprise AI platform for managing HR and finance
Be an early applicant
Enterprise AI platform for managing HR and finance
1001+ employees
Be an early applicant
$171.6-257.4k
Office located in Boulder, CO
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 4+ years experience working on a data science, machine learning or related software development team
- 4+ years experience with Python supporting ML/AI libraries, with experience in shipping secure, production solutions
- 4+ years of experience in object oriented programming with Java
- 5+ years experience in SaaS software development
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering. A PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering is highly desired
- Extensive experience with large language models (LLM), retrieval augmented generation (RAG) systems, semantic search and text embedding models, transformer neural networks, and related frameworks
- Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL)
- Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring
- An ability to balance speed with delivering high-quality, practical solutions. Shown perseverance in overcoming significant problems
- You have a strong focus on delivering high-quality software products, continuous innovation, and you value test automation and performance engineering
What the job involves
- We’re looking for highly creative, results-driven, and deeply technical AI/ML Engineers to help us shape the future of financial planning. If you're passionate about building real production-grade AI that solves complex business problems and delivers measurable impact—this is your team
- Are you driven to apply innovative AI to real-world enterprise challenges? As an AI/ML Engineer on the Workday Adaptive Planning team, you’ll help redefine how financial planning is done at scale—by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions
- You’ll be at the forefront of bringing "AI-first" thinking into production, developing enterprise level intelligent systems that automate, adapt, and assist users throughout the financial planning journey
- Your work will directly impact thousands of global enterprises and millions of end users
- Technically leadership: lead design and development of sophisticated AI agents that reason, learn, and interact across complex business processes to enhance productivity and decision-making
- Integrate AI Frameworks: Embed secure, scalable, and reliable agentic capabilities into core Adaptive Planning features
- Partner Cross-Functionally: Collaborate with extraordinary engineers and product managers to bring ideas to life
- Own Projects End-to-End: Lead the full AI development lifecycle—problem framing, data prep, design & development, deployment, evaluation, and continuous improvement
- Leverage Rich Planning Data: Harness Workday Adaptive Planning’s vast enterprise datasets to tune and optimize your AI models for high-value outcomes
- Mentorship: Provide technical guidance to junior engineers. Conduct critical code reviews and unblock the team on deep technical hurdles
- We’re looking for bold thinkers with strong technical and a product mindset. You’ll need to move fast, think big, and stay grounded in solving real customer problems through AI. If this sounds like your kind of challenge, we’d love to talk
Application process
- End Date: April 20, 2026
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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