1

Ai Risk Analyst Jobs in Massachusetts (NOW HIRING)

... analytics * Experience translating regulatory or risk requirements into user stories or product ... Manager - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk & Forensic ...

Manager - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk & Forensic ... analytics * Experience translating regulatory or risk requirements into user stories or product ...

... analytics * Experience translating regulatory or risk requirements into user stories or product ... Senior Consultant - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk ...

Senior Consultant - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk ... analytics * Experience translating regulatory or risk requirements into user stories or product ...

Product Marketing Manager

Boston, MA ยท On-site +1

$167K/yr

You'll build competitive programs that arm the field, shape how analysts and buyers understand emerging AI risk categories, and partner with Product and Engineering to ensure the market perspective ...

Showing results 21-40

Ai Risk Analyst information

See Massachusetts salary details

$16

$44

$71

How much do ai risk analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai risk analyst in Massachusetts is $44.21, according to ZipRecruiter salary data. Most workers in this role earn between $32.55 and $53.80 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 job categories do people searching Ai Risk Analyst jobs in Massachusetts look for?

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

What cities in Massachusetts are hiring for Ai Risk Analyst jobs?

Cities in Massachusetts with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 73% Full Time, 22% Part Time, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $91,967 per year, or $44.2 per hour.

Principal AI Security Analyst

Waters Corporation

Milford, MA โ€ข On-site

Full-time

Posted 8 days ago


Job description

As a Principal AI Security Analyst, you will be the organization's deepest subject-matter expert at the intersection of artificial intelligence and cybersecurity. You will lead the security review of AI/ML systems, manage our AI security toolchain, identify emerging threats unique to large-scale models, and build the frameworks that keep our AI infrastructure resilient against adversarial attacks. This is a high-visibility, high-autonomy role that shapes how the company thinks about AI risk.


  • Own end-to-end threat modeling for AI and ML systems, including LLMs, training pipelines, and inference infrastructure
  • Administer and tune Palo Alto Networks AI Runtime Security (AIRS) to detect and block adversarial inputs, prompt injection, and model abuse in real time
  • Manage AI Access Security policies to govern employee use of third-party AI applications โ€” enforcing DLP, acceptable-use rules, and shadow-AI visibility
  • Integrate an AI gateway layer to apply rate limiting, access controls, and observability across LLM API traffic
  • Research and operationalize defenses against adversarial attacks โ€” model extraction, data poisoning, jailbreaking, and membership inference
  • Lead red-team exercises targeting AI systems and synthesize findings into actionable security roadmaps
  • Define and maintain security standards, policies, and controls specific to AI model development and deployment
  • Partner with ML engineering, platform, and product teams to embed security requirements from design through production
  • Evaluate third-party AI tools, APIs, and vendors for supply-chain and data-handling risk
  • Work with other security team members in AI governance discussions, including compliance with EU AI Act and NIST AI RMF
  • Mentor other team members; set technical direction for the AI security practice

REQUIRED

  • 8+ years in cybersecurity with 3+ years focused on AI/ML security
  • Hands-on experience with Palo Alto Networks AIRS or AI Access Security
  • Deep understanding of LLM architectures and common vulnerability classes
  • Proficiency in Python; ability to review model code and ML pipelines
  • Experience with threat modeling frameworks (STRIDE, PASTA, or similar)
  • Track record driving cross-functional security programs at scale
  • Cloud-native environment experience (AWS, GCP, or Azure)

PREFERRED

  • Palo Alto Networks certifications (PCNSE, PCCSE, or equivalent)
  • Experience deploying AI gateways (Portkey, Kong AI, or similar)
  • Published research or CVEs related to AI/ML security
  • Familiarity with differential privacy or model watermarking
  • CISSP, OSCP, or equivalent certifications

Waters Corporation (NYSE:WAT)  is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.  

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.


ai ai_security cybersecurity infosec information_security