About the Role:
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We are seeking an experienced Assistant Manager – Automation and AI Engineer to lead quality engineering and testing across our AI, Generative AI, Conversational AI, Agentic AI, and Intelligent Automation initiatives. In this hands-on role, you will be critical in ensuring AI-powered solutions are accurate, reliable, secure, explainable, and production-ready while driving automation excellence across the Digital & AI ecosystem.
What You Will Do:
- Lead end-to-end quality engineering for Generative AI, Conversational AI, Agentic AI, and intelligent automation solutions.
- Define AI testing strategies, evaluation frameworks, quality standards, and release-readiness criteria.
- Evaluate and benchmark Large Language Models (LLMs) for accuracy, safety, relevance, latency, groundedness, and cost.
- Design and implement AI testing frameworks covering RAG evaluation, hallucination detection, AI safety, prompt validation, and model regression.
- 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.
- Mentor QA and automation teams while partnering with Product, Engineering, and Data Science teams to embed quality throughout the AI development lifecycle.
What You Will Bring:
- Bachelor's Degree plus 8-10 years of testing experience, including 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.
- Hands-on experience with Python, PyTest, Playwright, API automation, UiPath Test Suite, and intelligent automation testing.
- Knowledge of AI safety testing, prompt injection, jailbreak testing, hallucination detection, privacy controls, and guardrail validation.
- Experience integrating automated testing and AI evaluation into Azure DevOps, Jenkins, GitLab, and modern CI/CD pipelines.
- Strong analytical, stakeholder management, problem-solving, and mentoring capabilities, with knowledge of banking regulations, UAE PDPL, and digital banking environments.
Preferred Skills:
- Experience in Generative AI, Conversational AI, Agentic AI, and intelligent automation testing.
- Strong expertise in LLM evaluation, benchmarking, prompt validation, model regression, and RAG evaluation frameworks.
- Hands-on experience in AI quality assurance, including hallucination detection, LLM-as-a-Judge frameworks, and AI safety testing.
- Proficiency in Python, PyTest, Playwright, API automation, and UiPath Test Suite for automation and RPA testing.
- Experience integrating automated testing into CI/CD pipelines using Azure DevOps, Jenkins, GitLab, and Git.
- Knowledge of test data management, synthetic data generation, performance testing, latency profiling, and AI observability.
- Strong understanding of Azure DevOps Test Plans, Jira, and modern AI concepts such as embeddings, vector databases, context windows, and orchestration frameworks.
- Banking domain knowledge with awareness of UAE PDPL, data privacy, security, and regulatory compliance requirements.
