Lead Quality Assurance

AT&T

Confirmed live yesterday High trust
Closes in 4 days

Quick summary

Work type
On-site
Location
Plano, TX
Salary
$106,100–$178,200 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Sep 15, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $142k
$95k most similar roles pay here $209k

This role pays less than 75% of similar roles. Most pay $142,400–$189,512 — the shaded band above. At the midpoint, this role pays about $142k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About AT&T

AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.

AT&T currently has 61 open roles on FindRole.

Listed pay typically runs $117,350–$226,800 across 56 roles with salary data.

Most-posted roles

View all roles at AT&T

At a glance

TL;DR · Lead Quality Assurance

The Lead Quality Assurance joins the Consumer Technology experience team as a technical expert to lead strategic quality engineering initiatives and large-scale testing programs. This role involves designing, developing, and executing comprehensive test strategies for enterprise applications, APIs, and system integrations while ensuring reliability across AI-powered solutions. The individual will build automated testing frameworks for CI/CD environments, perform performance, load, stress, and security testing, and validate machine learning models including LLM integrations and agentic AI systems. Key responsibilities include identifying software defects, mentoring team members, and collaborating with cross-functional stakeholders to ensure high-quality delivery. Required skills include proficiency in Python, Java, or JavaScript, along with experience in cloud-based architectures, microservices, and RAG. The role focuses on solving complex challenges regarding AI system reliability, data quality, and prompt performance within a large-scale technical environment.

What you'll do

  • Design and execute comprehensive test strategies for enterprise applications, APIs, and system integrations.
  • Create and maintain manual and automated test cases to validate functionality, performance, and security.
  • Validate AI and machine learning solutions including model behavior, data quality, and prompt performance.
  • Build and enhance automated testing frameworks to support CI/CD environments.
  • Develop testing approaches for generative AI applications, LLM integrations, and intelligent automation.
  • Identify, document, and track software defects through resolution and retesting.
  • Lead complex testing efforts and provide technical guidance to less experienced team members.
  • Drive quality engineering best practices and testing standards across multiple projects and teams.

What we're looking for

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 5+ years of experience in software quality engineering, testing, or quality assurance.
  • Experience designing and executing manual and automated testing across web, cloud, mobile, and enterprise applications.
  • Strong knowledge of test automation frameworks, APIs, microservices, and cloud-based architectures.
  • Experience with performance, security, and regression testing methodologies.
  • Understanding of AI engineering concepts including LLMs, AI agents, RAG, prompt engineering, model evaluation, and AI system validation.
  • Proficiency in Python, Java, JavaScript, or similar programming languages within Agile and CI/CD environments.
  • Knowledge of cloud platforms, AI model evaluation frameworks, MLOps practices, or relevant certifications (preferred).

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