2 months ago
India (city not specified)Senior

Responsibilities

  • Develop and execute testing strategies for AI, machine learning, and generative AI solutions.
  • Design, develop, execute, and maintain automated test cases, test scripts, and AI test frameworks.
  • Perform functional, integration, API, system, regression, user acceptance, end-to-end, model validation, data validation, prompt, response, and adversarial testing.
  • Validate AI model outputs for accuracy, consistency, bias, fairness, explainability, hallucinations, robustness, reliability, and business alignment.
  • Validate data quality, integrity, lineage, environments, model releases, and the full AI data lifecycle.
  • Integrate test automation with CI/CD pipelines and manage automated test-suite execution and results.
  • Lead defect triage, root cause analysis, quality risk management, issue resolution, and test reporting.
  • Establish AI testing governance, responsible AI validation, regulatory controls, standards, and audit documentation.
  • Research and recommend AI testing methodologies, LLM evaluation frameworks, benchmarking techniques, intelligent automation, and synthetic test-data approaches.
  • Provide technical leadership, mentoring, coaching, onboarding, and knowledge sharing for testers and project teams.

Requirements

  • 5+ years of experience in Quality Engineering, Test Automation, and AI-driven testing.
  • At least one of Selenium, Appium, or UFT/OpenText, plus experience with Python, Maven, Postman, REST APIs, SoapUI, Cortex, and Snowflake.
  • Experience designing and executing AI-powered test automation frameworks and validating AI/ML applications, including prompt testing, response evaluation, bias and fairness assessment, hallucination detection, adversarial testing, explainability validation, and performance assessment.
  • Understanding of software testing principles, test strategy, planning, design, execution, defect management, reporting, governance, SDLC, and SQA processes.
  • Experience with CI/CD pipelines and DevOps practices using Jenkins, Azure DevOps, Azure Repos, Bitbucket, Git, Docker, and Kubernetes.
  • Experience with API testing, integration testing, data validation, cloud platforms, complex enterprise environments, and AI-assisted testing tools is desirable.
  • Experience with Selenium, Appium, UFT/OpenText, Python, Maven, Postman, REST Assured, JIRA, Azure DevOps, and end-to-end data-lifecycle automation.
  • Preferred experience includes 4+ years in Retirement Solutions, Financial Services, or BFSI domains.
  • Strong analytical, problem-solving, troubleshooting, communication, collaboration, attention to detail, prioritization, and independent-working skills.

Tech Stack

AppiumDockerGitJenkinsKubernetesMavenPostmanPythonSeleniumSnowflake

Categories

MUFG Pension & Market Services

About MUFG Pension & Market Services

1,001-5,000 employees

MUFG Pension & Market Services provides pension administration and corporate markets platforms for superannuation funds and listed companies, including registry services, employee share plans, meetings/proxy management, and related data and compliance solutions. It operates through MUFG Retirement Solutions and MUFG Corporate Markets, delivering software-enabled managed services and support. Headquartered in Sydney, it is a member of MUFG, the global financial group, and serves clients across multiple regions.

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