UiPath
Enterprise · RPA
- HQ
- New York City, US
- Founded
- 2005
- Size
- 4,000+
- Website
- uipath.com
Enterprise · RPA
Currently tracking 17 active AI roles, with 63 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $200k–$290k (avg $235k).
UiPath has 31 active AI-related job listings. The majority of these roles, 65%, are focused on agents. Engineering is the dominant function, with 23 roles. The company is hiring for roles related to agent orchestration, model serving, and tool use. Over the last 30 days, UiPath posted 18 new AI roles, representing an 18% decrease compared to the previous 30-day period.
UiPath currently has 31 active AI-related roles in our index. The most common open titles are: Principal Product Manager (2), Principal Software Engineer (2), Principal Software Engineer, Site Reliability (2), Senior Software Engineer- Document Understanding (2), Data Scientist. Most positions are in Engineering and Product.
UiPath's active AI hiring is concentrated in: agents (68%), serving infrastructure (19%), application (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
UiPath is hiring AI talent in: United States (9 roles), Romania (9 roles), India (6 roles), United Kingdom (3 roles).
Job postings at UiPath most frequently mention: Statistics, Software Engineering, Orchestration, Agentic Systems, Content Generation.
In the past 30 days, UiPath has posted 21 new AI-related roles. That is a +110% change versus the prior 30 days (10 → 21).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer- Site Reliability Senior Software Engineer for UiPath's Site Reliability team, focusing on building and scaling AI-powered SRE platforms and systems that ensure compliance, SLA promises, cloud access policies, cost governance, observability, and reliability. The role involves designing, engineering, and shipping these platforms as products, driving adoption through direct integration and support, and improving availability, scalability, and performance based on live site learnings. Requires strong software engineering fundamentals, experience with distributed systems, cloud infrastructure, and building AI-powered applications in production. | Serve | 5 |