GenAI Automation Architect - Enterprise QA Transformation

Cognizant

Charlotte (NC)

Hybrid

USD 140,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Medical benefits
Paid time off
401(k) plan
Disability insurance
Parental leave
Employee stock purchase plan

Job summary

Cognizant is seeking a GenAI Automation Architect to lead enterprise-wide quality engineering transformation through advanced test automation, Generative AI, and program leadership. You will collaborate with business stakeholders, delivery leaders, architects, and technology teams to accelerate innovation and improve software quality outcomes.

The role informs automation-first strategies across UI, API, mobile, and database testing, leverages large language models and AI-assisted automation, and

Qualifications

  • 18+ years of software testing and quality engineering experience.
  • 10+ years of program and project management experience.
  • Proven experience driving test automation transformation.
  • Hands-on knowledge of Generative AI technologies (LLMs, prompt engineering, Copilot).
  • Experience managing executive and C-level stakeholder communications, strategic planning, budgets, risks, and delivery execution.

Responsibilities

  • Lead automation-first quality engineering strategies across large-scale programs.
  • Design and implement scalable automation architectures for UI, API, Mobile, and Database testing.
  • Drive adoption of Generative AI-powered testing solutions.
  • Partner with senior stakeholders to align quality strategies with enterprise transformation.
  • Lead program planning, execution, governance, and delivery oversight.

Skills

Quality engineering
Automation leadership
Program management
Stakeholder comms
Generative AI

Tools

GitHub Copilot
Claude
AI platforms

Job description

Cognizant is seeking a GenAI Automation Architect to lead enterprise-wide quality engineering transformation through advanced test automation, Generative AI, and program leadership. You will collaborate with business stakeholders, delivery leaders, architects, and technology teams to accelerate innovation and improve software quality outcomes.

The role informs automation-first strategies across UI, API, mobile, and database testing, leverages large language models and AI-assisted automation, and

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