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Test Delivery Architect – AI in QE

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Coforge
Full Time, Seasonal/Temporary position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

Job Title: Test Delivery Architect – AI in QE

Job Type: Full Time

Job Description:

We at Coforge are hiring Test Delivery Architect – AI in QE with the following skill sets.

Role Summary

Test Architect is a senior leadership role responsible for driving enterprise-wide adoption of AI in QE - Platform across multiple programs and delivery teams. This role owns the adoption strategy, rollout execution, stakeholder alignment, and value realization of the platform. The individual will ensure platform becomes an integral part of Customer’s quality engineering and delivery lifecycle, moving teams from initial onboarding to sustained, measurable usage at scale.

Key Responsibilities
  • Define and execute the adoption strategy and rollout roadmap for Platform across multiple client programs / projects.
  • Lead onboarding of new projects and teams, ensuring the platform is embedded into sprint, release, and QE workflows.
  • Drive stakeholder alignment across QE, Engineering, Product, and Program leadership to ensure sustained platform usage.
  • Own adoption metrics and success measures, tracking usage, value realization, and impact on delivery outcomes.
  • Act as the primary escalation point for adoption challenges and remove organizational, process, and technical blockers.
  • Build and nurture internal champions to scale adoption and standardize best practices across teams.
  • Provide continuous feedback into the platform roadmap based on real-world adoption insights and usage patterns.
  • Required Experience & Qualifications
    • 12+ years of experience in Quality Engineering, Test Automation, or QE transformation roles.
    • Knowledge on AIML technologies and lead / build solutions in QE leveraging AI.
    • Proven experience leading adoption of enterprise platforms across large, complex organizations.
    • Strong understanding of QE processes, automation frameworks, CI/CD, and modern delivery models.
    • Excellent stakeholder management and executive communication skills.
    • Ability to drive change, influence teams, and operate with ownership across multiple programs.
    Preferred Experience
    • Experience in BFSI or other highly regulated enterprise environments.
    • Prior exposure to AI-driven or platform-based QE solutions.
    • Experience working with proprietary or IP-based enterprise platforms.

    Please send the updated resume to

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