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Ai Automation Testing Jobs in Massachusetts (NOW HIRING)

This role requires deep testing maturity, AWS expertise, and the ability to leverage AI tools to modernize automation and uplift the entire organization. Responsibilities: * Architect and evolve the ...

This role requires deep testing maturity, AWS expertise, and the ability to leverage AI tools to modernize automation and uplift the entire organization. Responsibilities: * Architect and evolve the ...

Senior AI/Automation Engineer

Boston, MA ยท On-site

$113K - $148K/yr

Requirement - Senior AI/Automation Engineer Location- Boston, MA and Minneapolis, MN(4 days a week ... testing, deployment, and auditability. ยท Drive spec-to-code, code-to-test, and test-to-deployment ...

AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the ... Establish the engineering standards for Finance built automation: version control, testing, change ...

New

AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the ... Establish the engineering standards for Finance built automation: version control, testing, change ...

AI Architect

Milford, MA ยท On-site

$69 - $91/hr

Establish engineering standards covering code quality, testing, automation, deployment, and operational readiness * Lead proof-of-concepts and technical evaluations of new AI technologies and ...

Establish engineering standards covering code quality, testing, automation, deployment, and operational readiness * Lead proof-of-concepts and technical evaluations of new AI technologies and ...

Establish engineering standards covering code quality, testing, automation, deployment, and operational readiness * Lead proof-of-concepts and technical evaluations of new AI technologies and ...

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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 Massachusetts?

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

Infographic showing various Ai Automation Testing job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead AI Automation Engineer

3B Staffing LLC

Boston, MA โ€ข Remote

Full-time

Posted 13 days ago


Job description

Must provide manager level reference at time of submittal

Candidates must be willing to take AI assessment before submittal to client - this assessment will have them show a government issued ID and be on camera - if they are not comfortable with this DON'T SEND!

Title: Automation Architect / Lead AI Automation Engineer

Location: 100% remote

Onsite Requirements: 100% remote (EST HOURS)

Start: ASAP

Duration: 6 months + extensions

Job Description

This is a senior, highly autonomous leadership role responsible for defining and executing the automation strategy across cloud-native, microservices-based systems. The Automation Architect will design frameworks from scratch, drive in-sprint automation, and serve as a trusted technical leader across engineering, infrastructure, and leadership teams. This role requires deep testing maturity, AWS expertise, and the ability to leverage AI tools to modernize automation and uplift the entire organization.

Responsibilities:

  • Architect and evolve the automation strategy and frameworks
  • Ensure everything is tested via automation within the sprint
  • Partner daily with developers, infra teams, and product owners
  • Lead automation for full end-to-end AWS workflows (events, data, integrations)
  • Integrate and maintain automated quality gates in CI/CD pipelines
  • Use AI tools to accelerate development and teach the team best practices
  • Guide junior engineers and help transition manual testers into automation
  • Act as a go-to technical leader for quality, tooling, and innovation

Must Haves:

  • 5+ years of automation engineering experience
  • Proven experience designing automation frameworks from scratch
  • Strong hands-on expertise with Playwright (TypeScript preferred) or similar tools
  • Deep knowledge of AWS and testing distributed/cloud-native systems
  • API automation experience (REST, microservices, event-driven systems like SQS/Kafka)
  • CI/CD integration experience (GitHub Actions, Jenkins, Azure DevOps)
  • Strong programming skills (TypeScript, Java, or Python)
  • Experience embedding automation fully in-sprint
  • Ability to work independently and own delivery, quality, and deployment
  • Executive presence and strong communication skills

Pluses:

  • Experience using AI-powered automation and MCP tools (Copilot, Cursor, OpenAI assistants)
  • Contract testing, component testing, visual testing, accessibility scans
  • Testing serverless workflows, queues, triggers, and event chains
  • Experience mentoring or training automation testers and engineers
  • Architecture documentation and dashboard/reporting experience
  • Passion for innovation, experimentation, and modernization initiatives