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Ai Automation Testing Jobs in Hawaii (NOW HIRING)

AI Automation Analyst

Honolulu, HI · On-site

$88K - $115K/yr

Experience documenting workflows, procedures, requirements, controls, testing results, and support ... The Officer, AI Automation Analyst designs, builds, implements, and supports internal AI-enabled ...

AI Automation Analyst

Honolulu, HI · On-site

$88K - $115K/yr

Experience documenting workflows, procedures, requirements, controls, testing results, and support ... digital operations, automation, reporting, AI-enabled productivity tools, or operational ...

Ensure model quality through testing, validation, documentation, and performance monitoring ... emerging AI technologies. * Contributes meaningful improvements to data quality, automation ...

Security Engineer

Pearl City, HI · On-site

$99 - $225/hr

You'll build security automation for CI/CD pipelines, including vulnerability scanning and ... Experience designing, implementing, configuring, operating, or testing IT systems or security ...

Accounting Specialist

Honolulu, HI · On-site

$20.50 - $27.75/hr

... testing, feedback, and adoption of approved system enhancements, including automation and AI-supported capabilities, to support evolving AP processes * Perform other duties as assigned by the ...

Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

... testing within constrained or limited toolchain environments * 10+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

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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 Hawaii?

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

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

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

AI Automation Analyst

First Hawaiian, Inc.

Honolulu, HI • On-site

$88K - $115K/yr

Full-time

Posted 28 days ago


First Hawaiian Bank rating

8.2

Company rating: 8.2 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

52nd of 174 rated banks


Job description

First Hawaiian Bank is seeking an AI Automation Analyst to join our Enterprise Information Security & Technology Risk Team. 


Work Schedule:

Monday-Friday 8:00AM to 5:00PM (hours may vary)

Compensation:
The salary range for this role is $88,500 to $115,000/yr; commensurate with experience.

The successful candidate will be hired for the level of the position that aligns with their experience.

  • Bachelor's degree in business administration, information systems, operations management, technology, data analytics, risk management, or related field; or equivalent combination of education and professional experience required.
  • Four (4)+ years of progressive experience in operations, business analysis, workflow automation, process improvement, digital enablement, reporting support, risk/control functions, project delivery, or related roles inclusive of:
  • Experience designing, building, supporting, or improving internal workflows, automations, reporting processes, or operational processes.
  • Experience using, configuring, or supporting low-code/no-code tools such as Microsoft Power
  • Automate, Power Platform, Copilot Studio, SharePoint, Excel, Teams, or similar workflow/productivity platforms.
  • Experience evaluating business processes, identifying operational pain points, and recommending practical improvements.
  • Experience coordinating with stakeholders, influencing process owners, or supporting cross-functional initiatives.
  • Experience documenting workflows, procedures, requirements, controls, testing results, and support processes.
  • Training or certification in Microsoft Power Platform, Power Automate, Copilot Studio, process improvement, workflow automation, project management, risk/control disciplines, or related technologies.
  • Coursework or practical experience in business process improvement, digital operations, automation, reporting, AI-enabled productivity tools, or operational transformation.
  • Experience working in a regulated, controlled, or financial services environment is highly desirable.
  • Experience working in a regulated, controlled, or financial services environment preferred.

The Officer, AI Automation Analyst designs, builds, implements, and supports internal AI-enabled workflows, automations, copilots, and approved business-unit agents that improve operational efficiency and internal business processes. In addition to performing hands-on automation work using tools such as Microsoft Power Automate, Power Platform, and Copilot Studio, this role applies broader business judgment, organizational knowledge, and stakeholder influence to evaluate process needs, shape practical solutions, and guide responsible adoption within established governance, security, and operational control standards.

This position does not develop machine learning models, train AI models, or own enterprise AI platform architecture. When solutions require advanced engineering, integrations, enterprise architecture, or capabilities beyond defined business-unit guardrails, the role helps coordinate with Technology, Data, Engineering, or other centralized teams.


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