Description

You will lead quality assurance efforts for Procure to Pay (P2P) workflows, focusing on automated solutions, SAP integrations, and LLM-driven document processing.

Responsibilities

• Develop QA strategies for P2P automation, including SAP integrations and document-based transactions in English and Arabic.
• Design and implement test automation frameworks for unstructured data and document-based workflows.
• Validate AI/ML models and LLM-driven automation for accuracy, reliability, and compliance in invoice and tender handling.
• Conduct exploratory testing to identify edge cases within complex, unstructured inputs.
• Establish QA processes that meet government-sector security and data privacy standards.
• Collaborate with development, business, and AI teams to ensure full test coverage and system performance.

Required Skills

• 5+ years of experience in QA roles, specifically with SAP-based P2P or similar enterprise systems.
• Experience testing automation frameworks and tools such as Selenium or Appium.
• Hands-on experience working with AI/ML solutions and LLMs for processing unstructured data.
• Strong understanding of document processing workflows and ERP system integrations.
• Fluency in both English and Arabic to validate language-specific workflows.
• Familiarity with government-sector compliance and security requirements.
• Bachelor's degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Hands-on experience with SAP modules related to P2P (MM, FI, SRM).
• Knowledge of LLM frameworks such as OpenAI, Claude, or Llama.

Key Skills

Education

Any Graduate