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Salary
≈ $76k – $197k per year (Estimated)
Location
Remote (location not specified)
Seniority
Staff · 15+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 3, 2026.

Overview
Company
Impact
Profile match
Exavalu is a technology consulting firm focused on insurance and other regulated industries, with US offices including Newport Beach, California, and its India headquarters in Kolkata. Founded by former executives of large consulting firms, it delivers strategy, insurance core modernization including Guidewire, data and analytics, integration and API management, digital customer experience and quality engineering services for insurers, banks and healthcare clients. It hires solution and technical architects, Guidewire specialists, Java and .NET full stack developers, Salesforce release managers and UX consultants in India, Canada and the US.

This is a remote position.

Overview :

Role: QA/QE Market Lead (AI-First Quality Engineering)

Experience: 15+ Years

Location: Remote

Employment Type: Full-Time

Focus Area: AI-First Quality Engineering (QE to the Power of AI)

Role Summary:

We are looking for a strategic and consulting-driven QA/QE Market Lead to drive AI-First Quality Engineering transformation initiatives across enterprise clients. The ideal candidate should possess strong leadership experience in modern Quality Engineering, AI-led QE transformation, market expansion, consulting, and enterprise stakeholder engagement.

This role will focus on embedding AI and Agentic AI capabilities across the Quality Engineering lifecycle - from requirement intelligence to automation, observability, TestOps modernization, release risk forecasting, and AI-native QE operating models.

Key Responsibilities:

  • Lead AI-First Quality Engineering transformation initiatives for enterprise customers.
  • Drive consulting-led client engagements with CIOs, CTOs, Digital, and Engineering leaders.
  • Build and expand QE market strategy, GTM initiatives, and AI-native QE capabilities.
  • Modernize traditional QA organizations into AI-driven Quality Engineering operating models.
  • Lead enterprise TestOps transformation, intelligent automation, and observability initiatives.
  • Define product-centric quality engineering strategies aligned with business outcomes.
  • Build AI-ready QE talent ecosystems and capability development programs.
  • Drive revenue growth, practice expansion, and P&L ownership for QE services.
  • Partner with delivery, sales, and engineering leadership teams to accelerate market adoption.

Requirements

Required Skills & Experience:

  • Strong expertise in AI-led Quality Engineering and QE transformation.
  • Experience with Agentic AI, intelligent automation, TestOps, release intelligence, and observability.
  • Strong consulting and advisory capabilities with executive stakeholder management experience.
  • Proven experience in GTM strategy, practice leadership, and market expansion.
  • Deep understanding of enterprise QA modernization and AI-native QE operating models.
  • Experience leading large-scale enterprise transformation programs.
  • Strong communication, leadership, and client relationship management capabilities.

Preferred Areas:

  • AI-Driven Test Automation
  • AI-Native QE Platforms
  • Enterprise TestOps
  • Observability & Release Intelligence
  • Product-Centric Engineering Models
  • Cloud & Digital Transformation
  • Revenue & P&L Ownership

Benefits

Diversity Inclusion:

At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career. Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.

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