AI Quality Assurance Automation Engineer

Overview

The way we work and our customer needs are changing! We are going through a huge AI uplift that will be a real game changer in the NZ Market. Our customers are loving our story and excited about our new service solutions. We are seeking AI Quality Assurance Automation Engineers who want to join our journey. We need someone who is passionate about AI development and wants to push boundaries. This role will join our Digital Engineering team, focusing on delivering innovative AI-driven software solutions. We will offer opportunities to work on cutting-edge projects, collaborating with cross-functional teams to design, develop, and deploy advanced AI models that address complex business challenges. We need multiple people and we need them now, so please don’t hesitate—this is your chance to put a New Zealand company on the global map!

Responsibilities

• AI QA Solutions Development : Design, develop, and implement advanced AI-powered QA automation solutions for testing AI-based applications, models, and systems. Use innovative techniques to identify performance bottlenecks, inconsistencies, and model biases.
• Test Automation & Frameworks : Build and maintain automated test frameworks for AI systems using a wide variety of automation tools (e.g., Playwright, Appium, pytest, or custom-built AI testing tools). Ensure that test automation strategies are scalable, reusable, and aligned with industry best practices. Senior test automation coding skills in at least one of the following languages : Python, TypeScript, Java, C#.
• AI Model Testing : Perform functional and non-functional testing of AI models to assess accuracy, bias, scalability, and robustness. Conduct regression testing and ensure that AI solutions behave as expected across different scenarios.
• Adopt AI Innovations : Stay up to date with the latest AI advancements and research. Actively explore and adopt emerging AI technologies (e.g., GPT models, neural networks, reinforcement learning) to continuously improve the quality assurance process.
• Cloud and On-Premise AI Services : Test and validate AI solutions hosted on both cloud platforms (e.g., AWS, Azure, Google Cloud) and on-premise AI services. Ensure that the AI solutions perform optimally across both environments.
• Cross-functional Collaboration : Work closely with AI developers, data scientists, and product teams to identify testing requirements, troubleshoot issues, and improve overall AI system quality. Provide feedback and insights on AI solution design from a QA perspective.
• Continuous Improvement : Implement and continuously improve testing methodologies for AI systems. Drive automation efficiency and effectiveness, ensuring that testing is comprehensive and aligned with fast-paced AI development cycles.
• Pipeline development : Describe and demonstrate the value of test automation pipelines with AI solutions using PaaS (e.g., Azure DevOps, GitHub Actions).
• Quality Metrics & Reporting : Establish key quality metrics for AI systems, track progress, and report on the effectiveness of AI testing strategies. Maintain clear, concise, and actionable documentation and reports on test outcomes, issues found, and resolutions.
• Communication Skills : Communicate (both written and oral) abstract concepts and value points to stakeholders in plain terms.

Skills & Qualifications

Preferred Qualifications

Why join us at Datacom

If you’re a proactive, tech-savvy AI QA engineer with a strong automation background and a passion for staying ahead of AI developments, we’d love to hear from you!

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