Principal AI Agent Engineer, Workday
Distributed Systems
$193.5-326.6k
Salary dependent on location
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
$193.5-326.6k
Salary dependent on location
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- 8+ years of experience with product engineering leading the development and delivery of highly available cloud products
- 5+ years proven experience in AI, machine learning, or intelligent automation, with a focus on enterprise applications
- 2+ years experience with LLMs, AI agents, and orchestration frameworks (e.g. LangGraph)
- 5+ years experience with Python, cloud AI services (AWS, Azure, GCP), and AI model deployment
- Bachelor's degree or equivalent experience in a relevant field, such as Computer Science, Mathematics, or Engineering
- 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
- Proven track record to tackle sophisticated business challenges by translating them into innovative, AI-powered solutions that drive measurable results
- Experience with data privacy, security, and compliance for AI in enterprise environments
- 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 AI models including identifying and curating datasets as well as experimenting with models for iterative improvement
What the job involves
- We are seeking an expert AI Agent Principal Engineer who will serve as a lead engineer for a multi-functional team building ground-breaking AI agents for HR & Finance.
- This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI solutions seamlessly integrate deeply within the Workday stack.
- You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and using 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
- 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: Extensive 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 innovate 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
- Committed to revolutionizing the industry with AI technologies in HCM systems
- Building responsible AI into our Agent Factory pipeline supporting various systems
Application process
- Posting End Date: 07/2/2025
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.
Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.
The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .
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 benefits
- Company equity
- Vision and dental insurance
- Work from home opportunities
- Health insurance
- Virtual primary care
- Flexible time-off policy
- Global mental health resources
- Global dedicated on-site clinical counselors
- Global well-being days
- $25k fertility/family planning benefits
- North Star financial wellness
- Retirement funds and matching
- 401k plan
- On-site health clinic (Pleasanton office)
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(CEO)Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.
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