Job Specifications
AI & Automation Transformation QE Leader
Role Overview:
We are seeking a visionary Quality Engineering (QE) Transformation Leader to drive the evolution of a large-scale testing organization (350+ professionals) from traditional testing strategies to AI-enabled, automation-first approaches. This role will spearhead the adoption of cutting-edge AI technologies, modern automation frameworks, and innovative tooling strategies to deliver superior quality at speed and scale.
Key Responsibilities:
Strategic Leadership:
Define and execute a multi-year transformation roadmap to transition from conventional testing to AI-driven QE practices.
Align transformation initiatives with organizational goals, ensuring measurable business outcomes.
AI & Automation Enablement:
Introduce and scale AI-powered testing solutions (eg, predictive analytics, self-healing scripts, intelligent test generation).
Drive automation maturity across functional, regression, performance, and security testing.
Tooling Strategy & Governance:
Develop and implement a comprehensive tooling strategy for test automation, AI-based test optimization, and continuous quality.
Evaluate, select, and integrate best-in-class tools and platforms to support AI-enabled QE.
Change Management & Adoption:
Lead cultural and skill transformation within the QE organization, fostering innovation and continuous learning.
Design and deliver enablement programs for upskilling teams on AI, ML, and advanced automation practices.
Collaboration & Stakeholder Management:
Partner with engineering, product, and business leaders to embed quality into the development life cycle.
Act as a thought leader and evangelist for AI-driven QE across the enterprise.
Metrics & Reporting:
Define KPIs to measure transformation success (eg, automation coverage, defect leakage, cycle time reduction).
Provide regular updates to senior leadership on progress, challenges, and ROI.
Required Skills & Experience:
Experience:
15+ years in Quality Engineering, with at least 5 years in leadership roles driving large-scale transformation.
Proven track record of implementing AI and automation strategies in enterprise environments.
Technical Expertise:
Deep understanding of AI/ML concepts applied to software testing.
Hands-on experience with automation frameworks (Selenium, Cypress, Playwright), AI-based testing tools, and CI/CD pipelines.
Leadership & Communication:
Exceptional ability to influence and lead cross-functional teams.
Strong communication and stakeholder management skills.
Preferred:
Exposure to cloud-native testing, DevOps, and continuous quality practices.
Certifications in AI/ML or advanced test automation.
About the Company
Coforge is a global digital services and solutions provider, that enables its clients to transform at the intersect of domain expertise and emerging technologies to achieve real-world business impact. A focus on very select industries, a detailed understanding of the underlying processes of those industries, and partnerships with leading platforms provides us with a distinct perspective. Coforge leads with its product engineering approach and leverages Cloud, Data, Integration, and Automation technologies to transform client...
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