QA Analyst - Gen AI

Silver Edge Arabia; Al Khobar; Hybrid; SAR 150,000 - 230,000; Full time

Job summary

Silver Edge Arabia in Al Khobar, KSA, is seeking a QA Analyst focused on AI and GenAI systems to ensure the reliability, scalability, and security of generative AI–driven applications. The role is hybrid, located in Al Khobar, with a strong emphasis on data validation and AI model testing.

You will execute functional and non‑functional tests across AI models, APIs, and user interfaces, while advancing automation using Robot Framework, Selenium, or Cypress and validating APIs with Postman or

Qualifications

• 3–5 years in Quality Assurance with a heavy focus on functional and integration testing.

Responsibilities

• Execute functional and non-functional testing across AI models, APIs, and UIs.
• AI & Data Validation: Validating input datasets for training and preprocessing, ensuring data integrity across workflows.
• Automation & API Testing: Implement automated test frameworks and conduct deep API validation with Postman or SoapUI.
• Performance & Security: Support load and stress testing to ensure scalability and identify vulnerabilities in data handling and API endpoints.
• Continuous Deployment: Automate regression suites for frequent deployments and monitor model performance.

Skills

QA testing

Python

Automation tools

API testing

AI knowledge

CI/CD

Performance testing

Security testing

Tools

Robot Framework

Selenium

Cypress

Postman

SoapUI

JMeter

Job description

QA Analyst (AI & GenAI Systems) Grade: Consultant

Location: Al Khobar, KSA

Work Model: Hybrid

The Opportunity

Testing AI isn't like testing traditional software. We are looking for a precision-driven QA Analyst to join our team in Al Khobar. In this role, you will play a critical part in ensuring our Generative AI-driven applications are reliable, scalable, and secure.

You won't just be checking buttons; you'll be validating AI model outputs, testing complex data pipelines, and ensuring that our next-gen solutions meet the highest standards of excellence before they reach the world's leading organizations.

Your Role

As a QA Consultant, you will execute a blend of functional and non-functional testing across AI models, APIs, and UIs. Your focus will include:

• AI & Data Validation: Validating input datasets for training and fine-tuning, ensuring data integrity across preprocessing workflows, and testing models against edge cases and adversarial inputs.
• Automation & API Testing: Implementing automated test frameworks using Selenium, Cypress, or Robot Framework and conducting deep API validation with Postman or SoapUI.
• Functional Excellence: Executing E2E and integration testing to validate AI-driven actions, user journeys, and business logic.
• Performance & Security: Supporting load and stress testing (JMeter) to ensure scalability. You will also help identify vulnerabilities in data handling and API endpoints.
• Continuous Deployment: Automating regression suites for frequent deployments and monitoring production model performance to drive quality improvements.

Your Skills and Experience

We need a QA professional who understands the intersection of software testing and machine learning.

Technical Requirements:

• Experience: 3–5 years in Quality Assurance with a heavy focus on functional and integration testing.
• Python Proficiency: Working experience with Python is a must.
• Automation Toolkit: Expert use of Robot Framework, Selenium, or Cypress.
• API Testing: Hands-on experience with Postman or SoapUI.
• AI Knowledge: Strong understanding of AI model validation techniques and data integrity.
• Tools: Familiarity with performance tools like JMeter and an understanding of CI/CD pipeline integration.

Bonus Points For:

• Experience in LLM Evaluation (evaluating model accuracy, hallucination rates, etc.).
• Background in security testing and vulnerability assessment.

Why Join Us?

At our core, we are a collective of innovators helping the world's leading organizations unlock the value of technology. You will be supported by a collaborative global community and empowered to build a career that stays ahead of the curve in the rapidly evolving AI landscape.

Ensure the future of AI is built on quality.