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Ai Monitoring Jobs in Rhode Island (NOW HIRING)

MG+M The Law Firm

Claims Monitoring Counsel

Providence, RI · On-site

$120K - $190K/yr

... of AI, alternative construction delivery models such as Progressive Design Build, and project ... Investigate, evaluate and monitor defense of complex professional liability claims. * Liaison to ...

GXO Logistics

Principal Cloud AI Platform Architect

NC · On-site +1

Principal Cloud AI Platform Architect Are you ready to take your career to the next level with a ... Logging and Monitoring. * Lead architecture for Google Kubernetes Engine (GKE), including ...

FM

Lead AI Security Engineer

Johnston, RI · On-site

$121 - $173/hr

Position Summary The Lead AI Security Engineer is a senior technical role responsible for enabling ... Assess integration requirements across enterprise identity, logging, monitoring, data protection ...

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Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

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

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

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

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

Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Cloud AI Security Specialist

Prophecy Technologies

Woonsocket, RI • On-site

Full-time

Posted 27 days ago

Job description

Role Overview:
We are seeking an experienced Senior Cloud AI Security Specialist to lead efforts in safeguarding cutting-edge cloud and artificial intelligence platforms. This critical role involves designing, implementing, and managing advanced security solutions to protect sensitive data, ensure regulatory compliance, and mitigate evolving cyber threats across AI-driven cloud environments. The ideal candidate will possess deep expertise in cloud security architectures, AI system vulnerabilities, and emerging cybersecurity trends, collaborating with engineering, product, and compliance teams to establish best practices and drive secure-by-design principles.
Key Responsibilities:
  • Design and implement security strategies for cloud-based AI systems
  • Conduct risk assessments and vulnerability analyses on AI models and cloud infrastructure
  • Develop and enforce security policies, standards, and best practices for AI and cloud environments
  • Monitor and respond to security incidents involving AI and cloud platforms
  • Collaborate with engineering teams to integrate security controls into AI workflows
  • Lead security audits and compliance reviews for cloud-based AI solutions
  • Evaluate and recommend security tools and technologies for AI and cloud applications
  • Train and mentor staff on AI security awareness and secure development practices
  • Stay current with emerging threats, vulnerabilities, and advancements in AI and cloud security
  • Report on security metrics, incidents, and improvements to senior leadership

Required Skills:
  • Cloud security architectures
  • AI system vulnerabilities
  • AI-driven cloud environments
  • Security strategies for cloud-based AI systems
  • Risk assessments
  • Vulnerability analysis
  • Regulatory compliance
  • Security audits
  • Compliance reviews
  • Security incident monitoring and response
  • Security metrics and reporting
  • Cyber threat mitigation
  • Security policies
  • Security standards
  • Security best practices
  • Secure-by-design principles
  • Integration of security controls into AI workflows
  • Collaboration with engineering, product, and compliance teams
  • Evaluation and recommendation of security tools and technologies for AI and cloud applications
  • AI security awareness training
  • Secure development practices
  • Mentoring staff
  • Emerging cybersecurity trends
  • Emerging threats and vulnerabilities
  • Advancements in AI and cloud security

Qualifications:
  • 6-8 years of experience in a relevant security role

Preferred Skills:
  • Digital: Cloud Security Management
  • MSS - Vulnerability Management
  • AI Agents

Apply