Senior QA Automation Engineer
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Key skills for this role
About the Role
We are seeking a Senior QA Automation Engineer to lead validation and verification strategies for AI systems in the defense sector. You will architect automated testing frameworks for LLMs and predictive engines, ensuring reliability and compliance.
Key Skills for This Role
Responsibilities
- Lead validation and verification of AI systems by architecting automated testing frameworks for non deterministic outputs
- Design and implement automated evaluation metrics (RAGAS, faithfulness, answer relevance) for RAG pipelines
- Develop prompt regression suites to monitor prompt drift
- Construct robust integration tests to validate data consistency between AI agents and enterprise systems (SAP S/4HANA, Ariba)
- Create performance benchmarking tests for latency and throughput of forecasting models and risk scoring engines
- Automate API validation for secure gateways, verifying RBAC and PII redaction logic
- Ensure alignment of automated test cases with System Requirements and User Needs
- Prepare Test Readiness packages for Stage Gate reviews
- Manage defect lifecycle between Requirements Quality Assistants and development teams
- Bridge Agile development and formal Systems Engineering processes
Requirements
- 5+ years of experience in QA Automation, with at least 2 years focused on testing complex data driven applications, ML models, or AI agents
- Experience in Defense, Aerospace, or highly regulated industries is a strong plus
- Expert proficiency in Python for building custom test harnesses (Pytest) and automation libraries (Selenium/Playwright, Requests)
- Expert proficiency in crafting Performance Test Plans and implementations (Locust, JMeter, K6)
- Experience with frameworks for evaluating LLMs (DeepEval, TruLens, or custom Python evaluators)
- Proficiency with SQL and data validation tools (e.g., Great Expectations)
- Strong experience integrating automated tests into GitLab CI/CD pipelines
- Familiarity with requirements management tools (Jira, Linear, Jama, Polarion)
- Strong hands on experience managing Test Reports and Artifacts (TestRail, Allure)
- Strong knowledge of maintaining code based frameworks (Git, GitLab)
- Knowledge of modern Quality Engineering best practices (Shift Left, Test Pyramid, Mono repo)
- Ability to define pass/fail criteria for probabilistic systems and communicate confidence levels
Full Job Posting
Company Overview
- Headquartered in Abu Dhabi, specializes in defense grade AI solutions ensuring high reliability.
- Focuses on industries requiring mission critical AI with automated validation frameworks.
Job Summary
- Seeking a Senior QA Automation Engineer to lead validation and verification strategies for AI transformation initiative.
- Define rigorous standards for non deterministic AI systems, ensuring LLMs and predictive engines meet defense reliability requirements.
- Bridge Agile development with formal Systems Engineering practices.
Key Responsibilities
- Lead validation and verification of AI systems by architecting automated testing frameworks for non deterministic outputs.
- Design and implement automated evaluation metrics (RAGAS, faithfulness, answer relevance) for RAG pipelines.
- Develop prompt regression suites to monitor prompt drift.
- Construct robust integration tests to validate data consistency between AI agents and enterprise systems.
- Create performance benchmarking tests for latency and throughput of forecasting models.
- Automate API validation for secure gateways, verifying RBAC and PII redaction logic.
- Ensure alignment of automated test cases with System Requirements and User Needs.
- Prepare Test Readiness packages for Stage Gate reviews.
- Manage defect lifecycle between Requirements Quality Assistants and development teams.
- Bridge Agile development and formal Systems Engineering processes.
Qualifications And Experience
- 5+ years of experience in QA Automation, with at least 2 years focused on testing complex data driven applications, ML models, or AI agents.
- Experience in Defense, Aerospace, or highly regulated industries is a strong plus.
- Expert proficiency in Python for building custom test harnesses (Pytest) and automation libraries.
- Expert proficiency in crafting Performance Test Plans and implementations (Locust, JMeter, K6).
- Experience with frameworks for evaluating LLMs (DeepEval, TruLens, or custom Python evaluators).
- Proficiency with SQL and data validation tools (e.g., Great Expectations).
- Strong experience integrating automated tests into GitLab CI/CD pipelines.
- Familiarity with requirements management tools (Jira, Linear, Jama, Polarion).
- Strong hands on experience managing Test Reports and Artifacts (TestRail, Allure).
- Strong knowledge of maintaining code based frameworks (Git, GitLab).
- Knowledge of modern Quality Engineering best practices (Shift Left, Test Pyramid, Mono repo).
- Ability to define pass/fail criteria for probabilistic systems and communicate confidence levels.
Required Technical Skills
- Expert proficiency in Python for building custom test harnesses using Pytest and automation libraries.
- Expert proficiency in crafting Performance Test Plans using Locust, JMeter, and K6.
- Experience with LLM evaluation frameworks (DeepEval, TruLens, or custom Python evaluators).
- Proficiency with SQL and data validation tools (Great Expectations).
- Strong experience integrating automated tests into GitLab CI/CD pipelines.
- Familiarity with requirements management tools (Jira, Linear, Jama, Polarion).
- Hands on experience managing test reports and artifacts (TestRail, Allure).
- Strong knowledge of maintaining code based frameworks using Git and GitLab.
- Knowledge of modern Quality Engineering best practices.
- Architecting automated frameworks to evaluate non deterministic AI outputs.
- Implementing automated metrics for RAG pipelines.
- Designing regression suites to monitor prompt drift.
Company And Project Focus
- Join a dynamic organization where innovation and quality assurance intersect.
- Contribute to a high impact project focused on automating quality assurance processes.
- Work directly supports development of high quality products fostering precision and technical excellence.
Location and Project Focus
- Location: Abu Dhabi, United Arab Emirates.
- Project Focus: Integration, Verification, and Validation (IV&V) for AI platform and Intelligent Supply Chain systems.
Why This Role Matters
- Critical final line of defense in ensuring AI integrity and reliability.
- Pioneer groundbreaking methodologies for testing Generative AI in safety critical environments.
- Shape the future of AI validation for defense organizations.
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