AI Agent Principal Engineer, Workday
More information about location
Enterprise AI platform for managing HR, finance & IT
Job no longer available
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Job no longer available
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 8+ years of experience with product engineering leading the development and delivery of highly available cloud products
- 5+ years of experience in AI, machine learning, or intelligent automation, with a focus on enterprise applications
- Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g., LangGraph)
- Experience with enterprise-grade AI architectures, API integration, and large-scale automation
- Hands-on experience with vector databases, retrieval-augmented generation (RAG), and fine-tuning LLMs
- Proficiency in Python, cloud AI services (AWS, Azure, GCP), and AI model deployment
- Strong problem-solving skills and the ability to translate business needs into AI-powered solutions
- Experience in data privacy, security, and compliance for AI in enterprise environments
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
- 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
- Experience with fine-tuning models including identifying and curating datasets as well as experimenting with models for iterative improvement
What the job involves
- Join the AI Agent Engineering team, where we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite. Be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday
- We are seeking an experienced AI Agent Principal Engineer who will serve as a lead engineer for a cross-functional team building transformative AI agents for HR & Finance
- This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI-driven solutions seamlessly integrate deeply within the Workday stack
- You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and leveraging LLMs, automation frameworks, and enterprise AI technologies to design and develop scalable, reliable and trusted AI agents for both the HR and Finance
- You will lead a team of engineers to quickly iterate on strategic agentic solutions for HR and Finance. You will be responsible for ensuring these solutions are scalable, reliable and secure
- Lead a high performing team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making
- Understanding of AI Lifecycle: Comprehensive knowledge of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation
- Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance
- Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
- Work with product, engineering, and data science teams to design and implement AI-based automation solutions that enhance HR and financial operations
- Collaborate with external AI vendors, cloud providers, and open-source communities to bring the best-in-class technologies into our AI stack
- Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time
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 & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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