Lead Quality Assurance
Listed on 2026-09-10
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Software Development
AI Engineer (Applied/Software)
This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter.
When you step into a career with AT&T, you won’t just imagine the future—you’ll create it. Recognized as a technical expert who independently resolves highly complex challenges and leads strategic quality engineering initiatives. Provides leadership across large-scale testing programs, influences technology direction, mentors team members, and partners with senior leadership to drive quality, performance, and AI system reliability across the organization.
You’ll Do
- Design, develop, and execute comprehensive test strategies for enterprise applications, AI-powered solutions, APIs, and system integrations.
- Create and maintain manual and automated test cases to validate functionality, reliability, performance, scalability, and security.
- Validate AI and machine learning solutions, including accuracy, model behavior, data quality, prompt performance, and responsible AI requirements.
- Perform performance, load, stress, and security testing to ensure applications meet business, compliance, and operational standards.
- Identify, document, prioritize, and track software defects through resolution, ensuring thorough retesting and validation.
- Partner closely with software engineers, AI engineers, product managers, and business stakeholders to review requirements and ensure testable, high-quality solutions.
- Build and enhance automated testing frameworks that support continuous integration and continuous delivery (CI/CD) environments.
- Develop testing approaches for AI agents, generative AI applications, large language model (LLM) integrations, and intelligent automation solutions.
- Analyze test results, identify quality risks, and provide actionable recommendations to improve application performance and user experience.
- Drive quality engineering best practices, continuous improvement initiatives, and testing standards across multiple projects and teams.
- Lead complex testing efforts for large-scale applications and provide technical guidance to less experienced team members.
- Collaborate with vendors and cross-functional teams to ensure successful delivery of high-quality technology solutions.
- 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, with experience supporting Agile and CI/CD environments.
- Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
Our Lead Quality Assurance jobs earn between $ - $ USD Annual.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days…
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