Principal Software Development Engineer, Workday
Agentic AI Engineering
More information about location
Enterprise management cloud platform
Job no longer available
Enterprise management cloud platform
1001+ employees
Job no longer available
More information about 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
- 12+ years of experience with product engineering leading the development and delivery SaaS products, including familiarity with Java, full-stack, devops and related technologies and best practices
- 8+ years experience in Python, LangChain/LangGraph and supporting numeric libraries, with experience in shipping production code and models
- An ability to balance a sense of urgency with delivering high-quality, practical solutions. Proven perseverance in overcoming challenging problems
- Other Qualifications:
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
- Practical experience with generative models, large language models (LLM), retrieval augmented generation (RAG) systems, transformer neural networks
- 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
- Experience with finetuning models including identifying and curating datasets as well as experimenting with models for iterative improvement
What the job involves
- The Globalization Platform org’s mission is to develop and evolve the language experience of Workday products while building out new agentic AI capabilities
- Our ambition is to provide a fit-for-purpose language experience to our customers by partnering with internal teams through innovative and emerging technology capabilities
- Our engineering teams are passionate about automation and leveraging cutting edge AI technologies to drive innovation, leading to a brighter Workday for all
- You will play a key part in designing and developing the future localisation and agentic AI capabilities for Workday to achieve our language experience strategies by leveraging the power of AI
- You will lead by example, demonstrating architecture and product development best practices, while mentoring and empowering your fellow team members to achieve success
- Building Agentic AI solutions: You will guide the creation and implementation of sophisticated AI agents, including finetuning models and developing complex agentic RAG solutions to address complex business challenges and enhance our products
- Mentoring and guiding engineers: You will provide technical leadership and mentorship to a team of hard-working ML engineers, fostering a culture of innovation and teamwork
- Collaborating with product and engineering: You'll partner with product managers and engineering teams to define product roadmaps and ensure successful integration of AI solutions
- Staying ahead of the curve: You will keep yourself informed of the latest advancements in machine learning and AI research, identifying and evaluating new technologies for potential adoption
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
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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