AI Quality Engineer

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EngineeringQuality Engineer

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Quick Summary

Requirements Summary

Proven experience in QA Automation and test automation frameworks. Experience testing APIs, integrations, and enterprise applications. Proficiency in Playwright, TypeScript, and/or Python.

Technical Tools

EngineeringQuality Engineer

Location: Singapore

About the Role

~1 min read

Help build trust in AI-powered solutions by ensuring agents, copilots, and intelligent workflows are reliable, accurate, and ready for production. This role focuses on validating AI behavior, business outcomes, integrations, and automation quality across enterprise platforms and managed services operations.

Responsibilities

~1 min read

→Design and execute quality engineering strategies for AI agents, copilots, intelligent workflows, and Human + Agent operating models.
→Validate agent outputs, prompt behavior, hallucination risks, regression impacts, and business process accuracy.
→Develop AI testing frameworks, evaluation datasets, acceptance criteria, and risk-based quality gates.
→Build and maintain automated regression suites for AI-enabled enterprise applications and workflows.
→Test integrations and end-to-end user journeys across platforms such as SAP, Salesforce, ServiceNow, SuccessFactors, mobile applications, and enterprise systems.
→Partner with Product Managers, Solution Architects, Agentic Engineers, and AgentOps teams to ensure AI solutions are safe, reliable, auditable, and production-ready.

Requirements

~1 min read

Proven experience in QA Automation and test automation frameworks.
Experience testing APIs, integrations, and enterprise applications.
Proficiency in Playwright, TypeScript, and/or Python.
Experience developing automated test strategies, regression suites, and quality assurance processes.
Strong analytical and problem-solving skills with attention to quality and risk management.

Experience testing AI, Generative AI, copilots, agents, or intelligent automation solutions.
Knowledge of prompt evaluation, hallucination detection, model validation, and AI quality metrics.
Experience with CI/CD pipelines, DevOps, or Quality Engineering practices.
Familiarity with SAP, Salesforce, ServiceNow, SuccessFactors, or other enterprise platforms.
Experience working in Agile product development or managed services environments.

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.