1

Ai Automation Testing Jobs in California (NOW HIRING)

... testing and validation, error handling, logging, and documentation • Analyze code for problem ... ai, Automation Anywhere, JavaScript, CSS, HTML, and an object-oriented language (e.g., C#/.NET) is ...

Practice sound engineering discipline: version control (Git / Azure DevOps), testing and validation ... ai, Automation Anywhere, JavaScript, CSS, HTML, and an object-oriented language (e.g., C#/.NET) is ...

AI Automation Engineering Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

In this role, you will leverage AI and modern automation tools to build intelligent workflows that accelerate the development, validation, and production testing of next-generation AI chips. This is ...

AI Automation Engineering Intern

San Jose, CA

$19.75 - $25.50/hr

In this role, you will leverage AI and modern automation tools to build intelligent workflows that accelerate the development, validation, and production testing of next-generation AI chips. This is ...

Practice sound engineering discipline: version control (Git / Azure DevOps), testing and validation ... ai, Automation Anywhere, JavaScript, CSS, HTML, and an object-oriented language (e.g., C#/.NET) is ...

... testing and workflow automation. These tools are not side projects. They are embedded into how we ... AI is not just a tool we use. It is core to how we operate, from creative to strategy to execution.

Senior Software Developer in Test

Palo Alto, CA · On-site

$58.75 - $76/hr

... for AI-Based API and UI automation testing. • Adopt and implement contract-based API testing approaches across services and integrations. • Review and improve existing test frameworks, tooling ...

Apply AI for automation, testing, validation, and SDLC optimization * Analyze business requirements and translate them into AI-driven workflows and test strategies * Set up and manage AI/ML ...

Senior Software Developer in Test

Palo Alto, CA · On-site

$58.75 - $76/hr

... AI-Based API automation testing, and coordinate different test methods such as pair testing, exploratory testing, fuzz testing, etc. • Adopt and implement AI-Native UI E2E and Component testing ...

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

Apply AI for automation, testing, validation, and SDLC optimization * Analyze business requirements and translate them into AI-driven workflows and test strategies * Set up and manage AI/ML ...

next page

Showing results 1-20

Ai Automation Testing information

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 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.

How much do AI testers get paid?

AI automation testers typically earn between $60,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start around $50,000, while experienced professionals with skills in machine learning and scripting can earn higher salaries. Certifications and proficiency with testing tools can also influence compensation.

What are the key skills and qualifications needed to thrive as an AI Automation Testing professional, and why are they important?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles usually involve developing innovative AI solutions, managing teams, and may require expertise in programming, data analysis, and relevant tools like TensorFlow or PyTorch.

Is AI testing a good career?

AI automation testing is a growing field that involves evaluating AI systems for accuracy, reliability, and performance using tools like scripting and testing frameworks. It offers opportunities in technology companies, with demand increasing as AI applications expand across industries. Developing skills in programming, machine learning concepts, and testing tools can enhance career prospects in this area.

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.

What cities in California are hiring for Ai Automation Testing jobs? Cities in California with the most Ai Automation Testing job openings:
Infographic showing various Ai Automation Testing job openings in California as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
JBATA - AI Automation Developer

JBATA - AI Automation Developer

Axos Bank

San Diego, CA • On-site

Full-time

Posted 21 days ago


Job description

Job Summary:
Axos Bank is a digital-first financial institution that provides innovative financial tools and services. They are seeking an AI Automation Developer to join their Development Rotational Program, focusing on implementing AI-driven automation solutions and enhancing business processes within a regulated financial-services environment.
Responsibilities:
• Build AI-powered automations that orchestrate large language models to classify, extract, summarize, and route information within business processes
• Configure intelligent document processing solutions combining optical character recognition (OCR) and AI-based extraction (e.g., Base64.ai) to automate the capture of information from documents
• Engineer and iterate on prompts for reliable results, and evaluate AI output for accuracy, edge cases, and the difference between logical success and correct business outcomes
• Create robust customer experiences within low-code platforms (n8n, Retool)
• Design, develop, and maintain applications/solutions on low-code platforms, including custom validation rules and integrations to a variety of platforms
• Integrate across systems using REST APIs, webhooks, and modern authentication patterns (OAuth 2.0, OIDC, API keys) to platforms such as Salesforce, ServiceNow, and Microsoft 365
• Work within document management systems to enhance storage and access of digital content
• Practice sound engineering discipline: version control (Git / Azure DevOps), testing and validation, error handling, logging, and documentation
• Analyze code for problem resolution and enhancements
• Develop and test technology solutions to improve business processes
• Diagnose, troubleshoot, and resolve issues within various software platforms
• Utilize available business tools and analyze current methods to determine efficiency gaps and areas for enhancement
• Assist with discovery and documentation of business requirements for new solutions
• Work with data retrieval and transformation from various data sources in SQL, Excel, etc.
• Operate within CoE governance, change-management, and data-handling requirements (e.g., GLBA), using approved tooling only for sensitive data
• Perform any additional duties as assigned
Qualifications:
Required:
• Bachelor's degree in Information Technology, Computer Science, Business Administration, Mathematics, or a related discipline
• 1+ year working in an office environment, internships, or related experience preferred
• Customer Obsession: 'Good enough' isn't good enough for you. You're obsessed with perfecting the customer experience
• Leadership: A confident person with the ability to connect and inspire others to achieve success, whether or not they directly report to you
• Results Oriented: A driver with the ability to take action and implement effective solutions in a timely manner, finding alternative paths when issues arise
• Ethics: Highest level of professional integrity, honesty, and personal credibility
• Innovation: Dedication to maintaining cutting-edge talent with the courage to implement new ideas and technology, using facts, data, and people skills to drive meaningful change
• Immersion: A propensity to rapidly master and apply new technology
• Excellent verbal and written communication skills, including the ability to simplify complex concepts for technical and non-technical audiences
Preferred:
• Exposure to AI concepts is preferred: working with large language models, prompt engineering, intelligent document processing, or basic retrieval/embedding concepts
• Front-end and back-end development with n8n, Retool, Base64.ai, Automation Anywhere, JavaScript, CSS, HTML, and an object-oriented language (e.g., C#/.NET) is preferred
• Familiarity with API integrations utilizing Java, JavaScript, SQL, C#, Python, or a similar coding/query language is preferred
• Familiarity with version control (Git / Azure DevOps) is preferred
Company:
Axos Bank is an online bank that assists consumers and businesses in managing their finances. Founded in 2000, the company is headquartered in San Diego, USA, with a team of 1001-5000 employees. The company is currently Late Stage.