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Ai Risk Analyst Jobs in Rhode Island (NOW HIRING)

Hope Global

Be Seen First

AI Solutions & Integration Engineer

Cumberland, RI · On-site

$115K - $140K/yr

... 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 ...

Apex Systems

Senior Security Analyst

Woonsocket, RI · On-site

$92K - $120K/yr

Facilitate discussions between compliance, risk, technical, and business teams to keep remediation ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

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Ai Risk Analyst information

See Rhode Island salary details

$15

$39

$64

How much do ai risk analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for ai risk analyst in Rhode Island is $39.65, according to ZipRecruiter salary data. Most workers in this role earn between $29.18 and $48.27 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What are popular job titles related to Ai Risk Analyst jobs in Rhode Island?

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What job categories do people searching Ai Risk Analyst jobs in Rhode Island look for?

The top searched job categories for Ai Risk Analyst jobs in Rhode Island are:

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Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Rhode Island as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $82,467 per year, or $39.6 per hour.

AI Solutions & Integration Engineer

Cumberland, RI • On-site

Hope Global
Motor Vehicle Manufacturing • 501 - 1,000 employees
Learn more about Hope Globalexternal

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 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.

Company Description

Hope Global is a worldwide manufacturing company headquartered in Cumberland, Rhode Island. Founded in 1883, we specialize in innovative engineered solutions and custom manufacturing for the automotive, industrial, apparel, government, and specialty textile markets. With facilities across North America, Europe, Asia, and South America, Hope Global is committed to delivering quality, innovation, and exceptional customer service.