Posted on 2025/12/27
Network Validation Engineer/Tester (AI)
PamTen Inc
Raleigh, NC, United States
Qualifications
- This solution leverages intelligent agents to perform end-to-end network validation, including pre- and post-change assessments
- The ideal candidate will have a strong background in network engineering and unified test validation methodologies
- Proven experience in network validation environments
- Strong understanding of network engineering principles and change validation processes
- Experience with automated testing frameworks (e.g., Pytest) and test management tools
- Familiarity with ServiceNow or similar ITSM platforms
- Ability to think critically and ask the right questions to extract meaningful insights from AI systems
- Excellent documentation and communication skills
Responsibilities
- We are seeking a highly skilled and inquisitive AI Network Validation Tester to support the development and testing of our cutting-edge autonomous AI solution
- Collaborate with engineering and AI teams to break down solution requirements into phased deliverables
- Design and implement comprehensive test plans for each development phase, using tools such as Pytest, Dropboard
- Execute test cases and document pass/fail results in alignment with internal standards and ServiceNow workflows
- Lead the unified test and validation effort, contributing to the evolution of next-generation test validation strategies
- Interact with the AI assistant to ask intelligent, context-aware questions that drive accurate and relevant responses
- Develop and maintain an internal prompt library to optimize interactions with the AI assistant and improve testing efficiency
- Ensure the AI agents are capable of understanding context, interpreting code, navigating approval cycles, and validating network configurations autonomously
- Provide feedback and insights to improve the AI’s performance and validation accuracy
Full Description
Job Summary:
We are seeking a highly skilled and inquisitive AI Network Validation Tester to support the development and testing of our cutting-edge autonomous AI solution.
This solution leverages intelligent agents to perform end-to-end network validation, including pre- and post-change assessments.
The ideal candidate will have a strong background in network engineering and unified test validation methodologies.
Key Responsibilities:
• Collaborate with engineering and AI teams to break down solution requirements into phased deliverables.
• Design and implement comprehensive test plans for each development phase, using tools such as Pytest, Dropboard
• Execute test cases and document pass/fail results in alignment with internal standards and ServiceNow workflows.
• Lead the unified test and validation effort, contributing to the evolution of next-generation test validation strategies.
• Interact with the AI assistant to ask intelligent, context-aware questions that drive accurate and relevant responses.
• Develop and maintain an internal prompt library to optimize interactions with the AI assistant and improve testing efficiency.
• Ensure the AI agents are capable of understanding context, interpreting code, navigating approval cycles, and validating network configurations autonomously.
• Provide feedback and insights to improve the AI’s performance and validation accuracy.
Required Qualifications:
• Proven experience in network validation environments.
• Strong understanding of network engineering principles and change validation processes.
• Experience with automated testing frameworks (e.g., Pytest) and test management tools.
• Familiarity with ServiceNow or similar ITSM platforms.
• Ability to think critically and ask the right questions to extract meaningful insights from AI systems.
• Excellent documentation and communication skills.
• Experience in building or contributing to prompt engineering or prompt libraries is a plus.
Preferred Qualifications:
• Background in AI/ML or autonomous systems testing.
• Experience with Next-Gen Test Validation strategies.
• Familiarity with agile development methodologies and phased delivery models.

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