Chief AI Quality Engineering & Governance

ScienTec Consulting Pte. Ltd.; Singapore; On-site; SGD 122,000 - 146,000; Full time

Job summary

ScienTec Consulting Pte. Ltd. seeks an experienced quality leader to drive company-wide software quality governance, assurance and engineering excellence.

You will own the Quality Management System, establish standards and governance, and embed quality across the SDLC in collaboration with Engineering, Product, Design, Security and Support teams. In this role you will lead QA/QC functions, implement metrics and controls, manage release governance and risk, and mentor the quality organization.

Qualifications

• Experience leading QA/QC functions and establishing organisation-wide quality governance frameworks.
• Strong understanding of SDLC, Agile methodologies and software engineering practices.
• Experience developing and implementing Quality Management Systems (QMS), quality standards, processes and governance frameworks.
• Familiarity with AI-generated code governance, AI-powered testing or AI product quality assurance would be an advantage.

Responsibilities

• Own and continuously improve the Quality Management System (QMS), including quality policies, standards, procedures and governance frameworks.
• Establish quality standards, controls, checkpoints and quality gates across the SDLC.
• Define and implement quality assurance processes and engineering standards to ensure consistent product quality.
• Drive continuous improvement initiatives, defect prevention and root cause analysis to strengthen overall engineering quality.
• Lead quality assurance practices across requirements gathering, solution design, development, testing and release.
• Oversee application testing activities, including test strategy, test coverage, test automation, performance testing and defect management.
• Establish and monitor quality metrics to identify gaps, assess risks and drive improvements.
• Ensure quality requirements are incorporated into CI/CD pipelines and development workflows.
• Establish and maintain release management, change control and emergency change governance.
• Identify and manage software quality risks, ensuring appropriate mitigation measures are implemented.
• Work with engineering teams to ensure compliance with established quality standards and release criteria.
• Translate technical quality issues into business risks and provide regular updates to senior management.
• Establish governance frameworks for AI-generated code and AI-powered product testing.
• Define evaluation, regression testing and quality controls to ensure the reliability, safety and consistency of AI-enabled solutions.
• Lead, mentor and develop the quality organisation across QA, application testing and test automation.
• Partner with Engineering, Product, Design, Security and Support teams to embed quality throughout the product development lifecycle.
• Oversee quality-related budgets, tools, dashboards, metrics and external vendor management.
• Provide strategic recommendations and report on quality performance, risks and improvement initiatives to senior leadership.

Skills

Quality governance

Quality assurance

Quality control

Leadership

Stakeholder management

Communication

Presentation skills

AI governance awareness

Education

Degree in Computer Science, Information Technology, Engineering or related discipline

Tools

CI/CD tools

Test automation tools

QA dashboards

Job description

ScienTec Consulting Pte. Ltd. seeks an experienced quality leader to drive company-wide software quality governance, assurance and engineering excellence.

You will own the Quality Management System, establish standards and governance, and embed quality across the SDLC in collaboration with Engineering, Product, Design, Security and Support teams. In this role you will lead QA/QC functions, implement metrics and controls, manage release governance and risk, and mentor the quality organization.