QUALITY INTELLIGENCE

Job Description

We are seeking an experienced Quality Intelligence (QI) Consultant to lead enterprise-scale Quality Engineering transformation initiatives by combining AI-powered Quality Intelligence capabilities, test automation modernization, quality analytics, and continuous testing practices.

Key Responsibilities

• Define enterprise-wide Quality Intelligence strategies, operating models, roadmaps, and governance frameworks.
• Conduct current-state assessments of testing processes, tooling, automation assets, metrics, environments, and release practices.
• Lead AI-enabled Quality Engineering initiatives including AI-assisted test generation, intelligent test optimization, self-healing automation, defect prediction, test impact analysis, and synthetic test data generation.
• Architect and modernize automation frameworks across Web, API, Mobile, Desktop, and enterprise applications using industry-standard technologies.
• Drive migration from fragmented or commercial automation solutions to scalable open-source ecosystems and reusable automation assets.
• Integrate testing into DevOps and CI/CD pipelines, enabling continuous testing, automated quality gates, and risk-based release decisions.
• Establish quality observability through KPIs, dashboards, predictive analytics, and executive-level reporting.
• Provide consulting, coaching, and mentoring to Quality Engineering teams and stakeholders across the SDLC.

Technical & Functional Expertise

Strong expertise in modern Quality Engineering and test automation ecosystems, with hands-on experience across leading automation, CI/CD, cloud, and test management platforms such as Playwright, Selenium, Cypress, Appium, REST Assured, Azure DevOps, Jenkins, Docker, Kubernetes, and major cloud providers.

Quality Intelligence & AI Competencies

Experience implementing AI-enabled Quality Engineering solutions such as intelligent test generation, risk-based testing, predictive quality analytics, defect prediction, self-healing automation, AI-assisted test maintenance, and Quality Engineering practices for AI/ML systems. Exposure to GenAI, LLMs, Agentic AI, and Responsible AI frameworks is preferred.

Leadership & Stakeholder Expectations

Act as a trusted advisor to engineering and business leaders, facilitate transformation workshops, influence quality strategy decisions, establish best practices, and lead globally distributed Quality Engineering teams. Strong communication, consulting, analytical, and problem-solving skills are essential.

Required Experience

12+ years in Quality Engineering, Test Automation, Software Quality, or Quality Transformation roles, including at least 5 years leading enterprise automation architecture, quality modernization, or continuous testing initiatives within Agile and DevOps environments.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline. Master’s degree preferred. Relevant certifications in Test Automation, Cloud, Agile, AI, or Quality Engineering are desirable.

Preferred Domain Experience

• Banking & Financial Services (BFSI)
• Insurance
• Retail & E-commerce
• Healthcare & Life Sciences
• Manufacturing
• Telecommunications

Certifications (Preferred)

• ISTQB Advanced Test Automation Engineer
• Certified Agile Tester
• Cloud Certifications (AWS/Azure/GCP)
• AI Fundamentals or Generative AI Certifications
• Selenium, Playwright, or Automation Certifications

Key Competencies

• Enterprise Test Automation Architecture
• Quality Intelligence Strategy
• AI-Driven Test Automation
• Continuous Testing
• Intelligent Quality Analytics
• Test Automation Governance
• Shift-Left & Shift-Right Testing
• DevSecOps Integration
• Automation Framework Modernization

Pay

Pay: $60.00 - $70.00 per hour

Work Location

Work Location: Hybrid remote in New York, NY 10040