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Ai Automation Testing Jobs in Texas (NOW HIRING)

Northern Base

Gen AI Engineer

Austin, TX · On-site

Hiring Alert | Gen AI Engineer Location: Austin, TX (Onsite) Employment Type: Full-Time Experience ... Test Automation Frameworks * API Testing & Troubleshooting * Documentation & Technical ...

Tyndale

AI Automation Engineer

Houston, TX · On-site

Establish and follow standards for testing, deployment, logging, exception handling, documentation ... following areas: RPA, systems integration, AI Agents, or Agentic AI solutions * Strong ...

3coresystems

Senior AI & Automation Engineer

Austin, TX · Hybrid

$103K - $135K/yr

Senior AI & Automation Engineer (Must have strong software engineering experience and be able to ... Own testing, validation, deployment, monitoring, and production support. Produce and maintain ...

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All JobsAi Automation Testing JobsAi Automation Testing Jobs in Texas

Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What are popular job titles related to Ai Automation Testing jobs in Texas?

For Ai Automation Testing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Automation Testing jobs in Texas look for?

The top searched job categories for Ai Automation Testing jobs in Texas are:

What cities in Texas are hiring for Ai Automation Testing jobs?

Cities in Texas with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Lead AI Automation

Tata Consultancy Service Limited

Plano, TX • On-site

$100K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

AI Automation Lead / Automation Engineer
Must Have Technical/Functional Skills
• Hands-on expertise in Playwright automation for web, API, and end-to-end testing; ability to design scalable automation
• frameworks from scratch.
• Strong experience in non-AI test automation using Playwright, Selenium, Cypress, or similar tools, with CI/CD pipeline integration.
• Programming skills in JavaScript / TypeScript and/or Java; ability to build reusable utilities, test data handlers, and reporting components.
• API testing experience using REST Assured, Postman, Playwright API testing, or equivalent toolsets.
• Working knowledge of AI-enabled automation, GenAI-assisted test case generation, AI agents, MCP concepts, Copilot, LLM-based productivity accelerators, or intelligent quality engineering solutions.
• Experience with test strategy, automation coverage planning, regression optimization, defect triage, and quality metrics reporting.
• Good understanding of Agile delivery, user stories, acceptance criteria, sprint ceremonies, and collaboration with product / engineering teams.
• Banking, payments, financial services, or regulated enterprise delivery experience preferred.
Roles & Responsibilities
• Lead the design, development, and maintenance of robust Playwright, cypress -based automation frameworks for UI, API, and end-to-end validation.
• Drive both AI-enabled automation opportunities and traditional automation execution across application teams.
• Create reusable automation assets, coding standards, framework guidelines, and best practices for test engineering teams.
• Partner with product owners, developers, QA teams, and delivery leads to define automation scope, acceptance criteria, test strategy, and regression priorities.
• Integrate automated test suites with CI/CD pipelines and ensure reliable execution, reporting, and defect feedback loops.
• Identify automation candidates, reduce manual test effort, improve regression cycle time, and increase release confidence.
• Enable GenAI / AI agent use cases where appropriate, such as test scenario generation, data creation, defect summarization, script maintenance assistance, and automation productivity improvements.
• Provide technical guidance to offshore / onsite automation engineers, review code, resolve blockers, and ensure engineering quality.
• Track automation KPIs such as coverage, execution stability, pass rate, defect leakage, reuse, and productivity improvement.
• Prepare concise status updates, risks, dependencies, and leadership-level summaries for project stakeholders.
Generic Managerial Skills, If any
Strong comm unication, stakeholder management, analytical thinking, and ownership mindset.
Ability to lead small to medium automation teams across onsite, offshore, and cross-functional delivery models.
Experience in planning work, prioritizing deliverables, tracking progress, managing risks, and driving closure.
Ability to mentor automation engineers and promote engineering discipline, quality-first mindset, and continuous improvement.
Education
Bachelors degree in Computer Science, Information Technology, Engineering, or related field. Equivalent practical experience may be considered.
TCS Employee Benefits Summary
• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100000 - 105000 a year
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