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Ai Risk Analyst Jobs in Worcester, MA (NOW HIRING)

Robert Half

Cybersecurity Manager

Smithfield, RI · On-site

$100K - $120K/yr

... external AI usage, partnering with Legal and Compliance teams, and advancing related policies and safeguards. * Provide guidance, direction, and performance oversight for two Risk Analysts ...

micro1 AI

Clinical Pharmacy Technicians

Worcester, MA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Pharmacovigilance Expert

Worcester, MA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

SPA

Artifical Intelligence (AI) Solution Architect

Lincoln, MA · On-site

$68.25 - $89.75/hr

Background integrating AI-driven analytics into program and technical performance dashboards to provide early indicators of risk * Experience working closely with cybersecurity and ISSM teams to ...

New

SS&C

Sr. Cyber Security Analyst

Waltham, MA · Hybrid

$107K - $139K/yr

Collaborating with cross-functional teams, you will drive risk-informed decision-making, support ... Adopt and extend AI-assisted security tooling to reduce toil, accelerate investigations, augment ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Worcester, MA

Ai Risk Analyst information

See Worcester, MA salary details

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How much do ai risk analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai risk analyst in Worcester, MA is $40.40, according to ZipRecruiter salary data. Most workers in this role earn between $29.76 and $49.18 per hour, depending on experience, location, and employer.

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.

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.

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.

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Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Worcester, MA as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $84,026 per year, or $40.4 per hour.

Senior Cloud AI Security Specialist

Prophecy Technologies

Woonsocket, RI • On-site

Full-time

Posted 24 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

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