OutSystems currently has six active job listings related to artificial intelligence. The majority of these roles, 67%, are focused on agents, with the remaining 33% in application. All six positions are within the Engineering function. The company is hiring in the United States, United Kingdom, and Japan. Frequent tech tags include llm_observability, guardrails, and agent_orchestration, suggesting a focus on managing and deploying AI agents. In the last 30 days, OutSystems posted three new AI roles, a 25% decrease compared to the previous 30-day period.
Currently tracking 9 active AI roles, up 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $132k–$235k (avg $167k).
OutSystems currently has 11 active AI-related roles in our index. The most common open titles are: Senior Quality Engineer (2), Digital Transformation Lead, Forward Deployed Engineer ( Nagoya based ), Platform Operations Expert, Principal Forward Deployed Engineer. Most positions are in Engineering.
OutSystems's active AI hiring is concentrated in: agents (82%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OutSystems is hiring AI talent in: United States (7 roles), Portugal (2 roles), United Kingdom (1 role), Japan (1 role).
Job postings at OutSystems most frequently mention: System Design, Agentic Systems, Production ML Systems, Testing Practices, Software Engineering.
In the past 30 days, OutSystems has posted 5 new AI-related roles. That is a -29% change versus the prior 30 days (7 → 5).
| Title | Stage | AI score |
|---|---|---|
| Principal Forward Deployed Engineer Principal Forward Deployed Engineer at OutSystems, focusing on embedding within customer missions to drive agentic transformation and deliver AI-native solutions using the OutSystems platform. This role involves discovering AI use cases, designing and deploying custom AI solutions, and ensuring customer success with agentic capabilities, RAG, and LLM-based workflows within enterprise environments. | Agent | 8 |