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Ai Test Engineer Jobs in Rhode Island (NOW HIRING)

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... test, and support business solutions using Microsoft Power Platform, Microsoft 365, Azure services, approved AI capabilities, scripts, APIs, and enterprise connectors as appropriate. · Integrate ...

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Sr. Manufacturing Solutions Engineer

Pawtucket, RI · On-site

$88K - $121K/yr

Adopt and champion agentic programming practices, using AI coding agents to plan, generate, test, and refactor code, while retaining accountability for architecture, correctness, and quality of the ...

Review completed test reports and submit for approval when required. * Generate and submit data ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

Quality Engineer (Assurance)

Westerly, RI · On-site

$72K - $93K/yr

Review completed test reports and submit for approval when required. * Generate and submit data ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

Quality Engineer (Assurance)

Westerly, RI

$72K - $93K/yr

Review completed test reports and submit for approval when required. * Generate and submit data ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented ... Develop and maintain data tests, including dbt tests, to support data quality and reliability ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented ... Develop and maintain data tests, including dbt tests, to support data quality and reliability ...

Full Stack Engineer

Smithfield, RI · On-site

$69 - $74/hr

The engineer will engage across the stack, collaborate with the Squad Lead, Scrum Master ... Plus: AI usage for code reviews and test cases. Education Requirements: * BS/BA degree or ...

Principal Software Engineer

Johnston, RI · On-site

$135K - $182K/yr

Intelligent test generation * Defect detection * Develop and integrate AI-powered applications and services. * Build customer-facing solutions utilizing Large Language Models (LLMs). * Implement AI ...

Showing results 21-40

Ai Test Engineer information

See Rhode Island salary details

$17

$43

$73

How much do ai test engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai test engineer in Rhode Island is $43.33, according to ZipRecruiter salary data. Most workers in this role earn between $32.74 and $51.30 per hour, depending on experience, location, and employer.

What is an AI test engineer?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are the key skills and qualifications needed to thrive as an AI test engineer?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.

What are some common challenges AI test engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

How do I become an AI Test Engineer?

To become an AI Test Engineer, candidates typically need a strong background in computer science, software testing, or related fields, along with knowledge of AI and machine learning concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model evaluation are essential. Earning relevant certifications and gaining experience in software development and testing environments can also improve job prospects.

What are popular job titles related to Ai Test Engineer jobs in Rhode Island?

For Ai Test Engineer jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Ai Test Engineer jobs in Rhode Island look for?

The top searched job categories for Ai Test Engineer jobs in Rhode Island are:

What cities in Rhode Island are hiring for Ai Test Engineer jobs?

Cities in Rhode Island with the most Ai Test Engineer job openings:

Infographic showing various Ai Test Engineer job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $90,123 per year, or $43.3 per hour.

AI Solutions & Integration Engineer

Hope Global

Cumberland, RI • On-site

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

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Key responsibilities

  • Design, build, test, and support automation and integration solutions using Microsoft Power Platform, Microsoft 365, Azure services, scripts, APIs, and enterprise connectors.

  • Partner with business and IT teams to identify, prioritize, and understand workflows, data sources, and desired outcomes to develop practical solutions.

  • Lead deployment, user acceptance testing, troubleshooting, and ongoing maintenance of delivered solutions, including creating documentation and training materials.


Job description

Hope Global is seeking a hands-on technology professional to turn business needs into secure, supportable automation and integration solutions. The role partners with IT and business teams across manufacturing, quality, supply chain, finance, engineering, and other functions to reduce manual work, improve access to information, and deliver measurable operational value.

This position is intentionally broad: the successful candidate does not need to arrive as an expert in AI, software-development, data management, or manufacturing platform. The expectation is strong enterprise technology fundamentals, sound judgment, the ability to learn quickly, and the ability to select the right combination of Microsoft cloud, Power Platform, AI, scripting, APIs, and integration tools for each use case.

ROLE OBJECTIVE Deliver practical, governed automation and integration solutions that improve time, cost, quality, service, or risk — and can be supported after launch.

Core Responsibilities

1. Business Process Discovery & Prioritization

· Partner with business and IT leaders to identify and prioritize automation, integration, analytics, and AI opportunities based on business impact, feasibility, risk, and supportability.

· Work directly with users, including plant-floor teams, to understand current workflows, pain points, data sources, controls, exceptions, and desired outcomes.

· Define a practical scope, success measures, and phased delivery approach before development begins.

2. Solution Design, Automation & Integration

· Design, build, configure, test, and support business solutions using Microsoft Power Platform, Microsoft 365, Azure services, approved AI capabilities, scripts, APIs, and enterprise connectors as appropriate.

· Integrate solutions with enterprise systems and data sources such as ERP, SharePoint, manufacturing applications, databases, files, and approved third-party platforms.

· Use PowerShell, Python, low-code tools, SQL, REST APIs, or other approved technologies where they provide the simplest maintainable solution.

· Build appropriate exception handling, logging, monitoring, approvals, and human review into production workflows.

3. Data, Analytics & AI Enablement

· Support data-driven solutions using Microsoft Fabric, OneLake, Power BI, SQL, relational data, and approved enterprise data models.

· Evaluate and implement appropriate AI-assisted capabilities, including Microsoft Copilot, Copilot Studio, Azure AI services, document intelligence, or approved large-language-model services when they provide clear business value.

· Use AI responsibly: validate outputs, define human checkpoints for business-critical decisions, and document known limitations.

4. Security, Governance & Supportability

· Design solutions using company standards for identity, role-based access, service accounts, credentials, secrets, data protection, privacy, and records retention.

· Maintain clear solution documentation, source/configuration control, testing evidence, support procedures, and change history.

· Follow established cybersecurity, change-management, release, and production-support practices.

5. Deployment, Adoption & Business Value

· Lead user acceptance testing, deployment, operational handoff, troubleshooting, maintenance, and continuous improvement of delivered solutions.

· Create concise documentation and training materials and help business users adopt new workflows successfully.

· Track reliability, usage, time savings, cost reduction, quality improvement, service improvement, or other agreed measures of value.

· Communicate status, risks, decisions, dependencies, and support needs clearly to technical and nontechnical stakeholders.

Required Qualifications

· Bachelor's degree in information systems, computer science, engineering, business technology, or a related field, or equivalent practical experience.

· Progressive experience in enterprise IT, systems engineering, cloud technology, systems integration, automation, application support, data platforms, or a related technical discipline.

· Strong experience with Microsoft enterprise technologies such as Azure, Microsoft 365, identity/access management, Power Platform, or related cloud services.

· Hands-on experience automating or integrating business processes using scripting, low-code tools, SQL, APIs, connectors, or comparable technologies.

· Working knowledge of data integration concepts, relational data, authentication/authorization, error handling, monitoring, and secure production support.

· Ability to learn unfamiliar platforms quickly and move from business problem to working technical solution with appropriate documentation and controls.

· Strong communication, analytical, and problem-solving skills, including the ability to work directly with business users and explain technical solutions clearly.

· Comfort working in manufacturing environments and managing multiple priorities with limited supervision.

Preferred Qualifications

· Experience with Microsoft Fabric, OneLake, Power BI, Power Apps, Power Automate, Copilot Studio, Azure AI services, or Azure Document Intelligence.

· Experience integrating ERP or manufacturing systems, particularly Oracle, Epicor, MES, QMS, CMMS, CRM, EDI, or similar platforms.

· Experience in automotive supply, discrete manufacturing, or another regulated/audited environment.

· Practical experience with Python, JavaScript, PowerShell, version control, or cloud-based development/integration services.

· Exposure to AI-assisted workflows, large-language-model APIs, agentic workflows, intelligent document processing, or related technologies.

· Familiarity with manufacturing quality/compliance processes or standards is helpful but not required.