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Ai Automation Testing Jobs (NOW HIRING)

QA Automation Engineer (AI)(10+ Years Experience) Location: Phoenix,AZ Duration:12 Months Contract ... Key Responsibilities Functional Testing Analyze business requirements, user stories, and technical ...

Several approved AI use cases have moved from discovery and design through testing, rollout, and ... Experience with automation platforms such as Microsoft Power Automate, Power Platform, UiPath ...

We're looking for a hands-on AI & Automation Lead to help SONIFI identify, build, and scale ... Establish testing and quality assurance practices to validate accuracy, reliability, and ...

... testing solutions, and participating in the roll out and stabilization of these solutions to the ... Integrate AI and automation workflows with enterprise systems such as SAP, and other financial ...

We're looking for a hands-on AI & Automation Lead to help SONIFI identify, build, and scale ... Establish testing and quality assurance practices to validate accuracy, reliability, and ...

AI & Automation Specialist

Denver, CO Β· On-site

$65K - $75K/yr

The AI & Automation Specialist will be Howell's first dedicated resource for identifying, building ... hands‑on testing. * Once tools and platforms are selected, provide ongoing support and ...

Build and evolve automated testing frameworks for ASP.NET * Applying AI-assisted tooling and automation to improve engineering productivity and testing coverage * Develop reliable end-to-end UI ...

WAI is investing in AI, automation, data, and digital capabilities that can improve how work gets ... Several approved AI use cases have moved from discovery and design through testing, rollout, and ...

Senior AI Automation Engineer Job Type: Fulltime Job Location: San Francisco, CA Work Schedule ... Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications ...

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How much do ai automation testing jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai automation testing in the United States is $51.28, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $58.41 per hour, depending on experience, location, and employer.

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.
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What states have the most Ai Automation Testing jobs?

States with the most job openings for Ai Automation Testing jobs include:

Infographic showing various Ai Automation Testing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $106,656 per year, or $51.3 per hour.

AI & Automation Solutions Specialist

Metairie, LA β€’ On-site

RESTECH INFORMATION SERVICES
IT ServicesΒ β€’Β 11 - 50 employees

Full-time

Re-posted 9 days ago


Job description

Description:

Position Summary

We are seeking an AI & Automation Solutions Specialist who can design, build, and implement scalable systems across the galaxy. This is a technical and client-facing role for someone who can navigate business processes like a pilot through an asteroid field. You will identify automation opportunities, educate clients on AI adoption, and turn business needs into practical technology solutions—ensuring our clients never feel like they are stuck in a "Kobayashi Maru" no-win scenario.

The ideal candidate is comfortable working with AI assistants, workflow platforms, and APIs. We need someone who can guide clients from discovery to implementation, ensuring their AI journey doesn't end up like a thermal exhaust port oversight.

Key Responsibilities

Client-Facing AI & Automation Consulting

  • Meet with clients to understand workflows and pain points; essentially, perform a Vulcan Mind Meld to translate business      requirements into technical solution designs.
  • Educate clients on AI use cases in clear, business-friendly language—no need for Binary or Klingon here.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.

Conversational AI & Persona Engineering

  • Design and implement AI assistants and voice solutions. You aren't just building a droid; you’re building a personality.
  • Build AI personas that align with brand tone and service expectations. Whether the client needs a protocol droid or a      Starfleet computer, you’ll set the behavior guidelines.
  • Configure phone-based AI systems with reliable branching logic to ensure callers never feel like they’re trapped in a tractor beam.

Automation Architecture & Workflow Design

  • Design and manage workflows that connect business systems and reduce manual effort.
  • Build scalable automations that can be monitored and improved over time—think "Engage" rather than "Wait."
  • Design error handling and escalation paths so that a single glitch doesn't lead to a total systems failure.

Endpoint Automation & Systems Management

  • Build automation within endpoint management environments to reduce technician workload.
  • Design automated monitoring and remediation workflows; your goal is to make the systems as self-sustaining as a Federation starship.
  • Create scripts and task sequences to automate local and remote actions.

Systems Integration & API Management

  • Design and document integrations between third-party and proprietary systems using APIs, webhooks, and payloads.
  • Configure secure connections using modern authentication.
  • Troubleshoot integration failures and data synchronization problems with the precision of a targeting computer.

Data Reliability, Testing & Documentation

  • Maintain data accuracy across platforms.
  • Test AI and automation solutions before deployment; we refer to find the "thermal exhaust port" before the client does.
  • Create technical documentation and reusable automation templates.
Requirements:

Required Skills & Experience

  • Experience designing and building automation workflows.
  • Ability to work directly with clients in discovery and implementation settings.
  • Understanding of AI assistants, LLMs, and prompt engineering.
  • Scripting experience in one or more common languages.
  • Strong documentation skills; your reports should be as clear as a Captain’s Log.
  • Ability to explain technical solutions in simple language.

Preferred Technical Competencies

  • AI assistant and Voice AI architecture.
  • Prompt engineering and AI persona development.
  • Endpoint automation and systems management.
  • API development and secure authentication.
  • Process improvement and technical documentation.

Platform Experience Preferred

  • Endpoint management and remote automation platforms.
  • Workflow automation and middleware.
  • Voice AI and conversational AI platforms.
  • CRM, PSA, and ticketing systems.
  • API testing and development tools.

Ideal Candidate Profile

The ideal candidate is a builder, a problem-solver, and a client educator. They understand how businesses operate and can identify where AI creates measurable value.

This person should be able to sit with a client, map a manual process, and build a solution that works. You should be comfortable in fast-moving environments where technology evolves at warp speed.

Success in This Role Looks Like

  • Clients understand how AI and automation can improve their business.
  • Manual processes are converted into reliable, documented workflows.
  • AI assistants and voice solutions are deployed with clear business value.
  • Internal teams have clear documentation and repeatable standards.
  • Client systems communicate securely and reliably, keeping the peace across the digital frontier.