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Ai Risk Jobs in Springfield, MA (NOW HIRING)

Associate Risk Analyst

Hartford, CT · On-site

$69K - $103K/yr

Conduct research on emerging model risk management practices, AI/GenAI governance, and regulatory developments. * Assist in developing monitoring and reporting capabilities for traditional, AI, and ...

Risk & Council Assessment: Coordinates reviews across Data Governance, Cybersecurity, Legal, Finance, and other stakeholders and prepare materials for Gen AI Council decision-making. Lifecycle ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Enable teams to innovate safely through controlled, risk-aware development practices. Cross ...

Risk & Council Assessment: coordinates reviews across Data Governance, Cybersecurity, Legal, Finance, and other stakeholders and prepare materials for Gen AI Council decision-making. * Lifecycle ...

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Ai Risk information

See Springfield, MA salary details

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How much do ai risk jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for ai risk in Springfield, MA is $30.23, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $38.56 per hour, depending on experience, location, and employer.

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

Global Tech & AI Risk Strategy Leader (Hartford)

AXA Group

Hartford, CT • On-site

Full-time

Posted 24 days ago


Job description

AXA XL is seeking the Head of Technology & AI for Risk Advisory and the Global Chief Underwriting Office. This senior executive will partner with the Chief Technology & AI Officer to translate business strategy into technology roadmaps, align investment, capacity, and operating models, and deliver measurable outcomes for Risk Advisory and GCUO.

You will shape demand, influence prioritization, manage delivery accountability, and ensure governance across digital, data, AI, and core platforms.

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