AI Quality Engineer

Role Overview

RAK BANK is seeking an AI Quality Engineer (Assistant Manager – Automation and AI Engineer) to lead quality engineering and testing across AI, Generative AI, Conversational AI, Agentic AI, and Intelligent Automation initiatives.

Role Purpose

Lead end-to-end quality engineering for AI-powered solutions to ensure they are accurate, reliable, secure, explainable, and production-ready while driving automation excellence across the Digital & AI ecosystem.

Key Responsibilities

AI Testing Strategy & Frameworks

• Define AI testing strategies, evaluation frameworks, quality standards, and release-readiness criteria.
• Design and implement AI testing frameworks covering RAG evaluation, hallucination detection, AI safety, prompt validation, and model regression.
• Evaluate and benchmark Large Language Models (LLMs) for accuracy, safety, relevance, latency, groundedness, and cost.

Quality Engineering & Automation

• Lead end-to-end quality engineering for Generative AI, Conversational AI, Agentic AI, and intelligent automation solutions.
• Build and integrate automated testing solutions using Python, PyTest, Playwright, API automation, and CI/CD quality gates.
• Drive chatbot, virtual assistant, and copilot testing across multi-turn conversations, intent coverage, and English/Arabic user journeys.

Team Leadership & Collaboration

• Mentor QA and automation teams while partnering with Product, Engineering, and Data Science teams to embed quality throughout the AI development lifecycle.

Qualifications & Experience

• Bachelor's Degree plus 8–10 years of testing experience.
• At least 3 years supporting banking technology projects in a lead or SME capacity.
• Strong expertise in Generative AI, Conversational AI, Agentic AI testing, LLM evaluation, RAG frameworks, and AI quality assurance methodologies.
• Knowledge of banking regulations, UAE PDPL, and digital banking environments.

Skills & Competencies

Technical Skills

• Hands-on experience with Python, PyTest, Playwright, API automation, and UiPath Test Suite.
• Experience integrating automated testing and AI evaluation into Azure DevOps, Jenkins, GitLab, and modern CI/CD pipelines.
• Proficiency in test data management, synthetic data generation, performance testing, latency profiling, and AI observability.
• Strong understanding of Azure DevOps Test Plans and Jira.

AI & Security Expertise

• Knowledge of AI safety testing, prompt injection, jailbreak testing, hallucination detection, privacy controls, and guardrail validation.
• Understanding of modern AI concepts such as embeddings, vector databases, context windows, and orchestration frameworks.

Soft Skills

• Strong analytical, stakeholder management, and problem-solving capabilities.
• Mentoring and team leadership experience.

Additional Information

• Banking domain knowledge with awareness of data privacy, security, and regulatory compliance requirements is valued.