About Workday
We're 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. Our culture is rooted in integrity, empathy, and shared enthusiasm.
About the Team
Paradox is now part of Workday. Our product, Olivia, is the conversational AI assistant that has run hundreds of millions of recruiting conversations, helping the world's largest employers screen, schedule, and hire at a scale and speed no human team could match alone.
You'll join the engineering team in Da Nang that builds the brain behind Olivia: the language understanding, the large language model (LLM) systems, and the new generation of AI agents that take real action on behalf of recruiters and candidates. This is production AI at enterprise scale — millions of conversations, dozens of languages, and a quality bar where a single wrong answer is one too many.
About the Role
As a Senior AI Engineer on the Workday team, you will design, build, and operate the next generation of LLM- and agent-powered systems that support conversational hiring at scale. You will take ambiguous, high-impact problems from early discovery through production operation, using sound technical judgment and partnering across infrastructure, product, data, design, and engineering to deliver AI systems that are fast, safe, useful, and trusted by customers.
In addition to owning complex technical work, you will mentor engineers through thoughtful technical feedback and clear documentation, helping the team make sound design decisions and deliver high-quality AI systems with greater independence.
Responsibilities
- Own AI features supported by dedicated AI infrastructure, taking problems from early ideas through design, implementation, evaluation, rollout, and production monitoring.
- Develop LLM- and agent-based systems, including prompt engineering, context management (like RAG and vector databases), and agent workflows.
- Refine the models that power Olivia's multilingual conversations, focusing on better intent and entity recognition.
- Improve AI performance by building tools to measure quality, monitor metrics, run tests, and quickly catch production issues.
- Make model serving faster, cheaper, and more reliable using techniques like caching, batching, and fallback strategies.
- Raise the technical bar by applying AI expertise and engineering experience to deliver high-quality system designs, implementation approaches, and code.
- Guide and support other engineers with thoughtful feedback on code and designs, helping them improve their decision-making.
- Create clear documentation that helps team members understand how systems work, make informed decisions, and work more independently.
- Work with product, data, and platform teams to deliver AI features that provide real value to our customers.
- Other duties which are assigned by the Employer or authorized person of the Employer.
Requirements
Basic Qualifications
- 5+ years of experience designing and developing LLM AI systems.
- 5+ years of professional programming experience in Python.
- Demonstrated history of building AI products from early prototype through production.
Other Qualifications
- LLM and Agentic Systems: Experience designing LLM-powered applications, agentic workflows, prompt pipelines, and tool/function-calling patterns for reliable product experiences.
- AI Quality and Evaluation: Experience improving AI system quality through evaluation methods, regression testing, guardrails, observability, and production monitoring.
- Production Engineering: Ability to design AI services with attention to latency, cost, reliability, scalability, and operational maintainability.
- Technical Mentorship: Ability to guide engineers through practical technical feedback, design reviews, code reviews, and clear documentation.
- Cross-Functional Collaboration: Experience partnering with product, data, platform, and engineering teams to turn business needs into technical plans.
- Communication: Excellent communication skills in English and Vietnamese, with the ability to explain technical decisions, risks, and trade-offs clearly to technical and non-technical audiences.
- Growth Mindset and Teamwork: Demonstrated ability to work collaboratively in team environments while showing a growth mindset through feedback, learning, and continuous improvement.
Work Flexibility
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. 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.
Equal Opportunity and Accommodations
Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.
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.
If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodation, exercising a privacy right, or cooperating in an investigation in accordance with applicable law.
Additional Information
- Workday does not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.
- Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
- Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
- You may view Workday's Pay Transparency Policy and Know Your Rights Notice on the Career Site.
- Are you being referred to one of our roles? Ask your connection at Workday about our Employee Referral process.
About Workday
Workday provides enterprise cloud applications for finance and human resources to help organizations optimize their operations through data-driven insights and automation. The company integrates artificial intelligence and machine learning to enhance decision-making and streamline HR and financial management processes.
Interested in this role?
Apply now to join Workday.