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Ai Risk Jobs in Massachusetts (NOW HIRING)

Evaluate emerging AI platforms and tools and recommend pragmatic solutions based on business value, scalability, security, and risk * Provide technical leadership and architectural guidance to teams ...

Define, operationalize, and continuously improve enterprise processes to assess and manage AI risk across data, ethics, quality, regulatory, perceptual, and individual domains * Evolve and Chair ...

Director, AI Strategy

Waltham, MA · Hybrid

$220K - $250K/yr

Deep conceptual expertise across AI (ML, GenAI, NLP) and enterprise governance: frameworks, risk lenses, validation/monitoring, measurement of value * Strong familiarity with the pharma/biopharma ...

AI Architect

Woburn, MA · On-site

$69 - $90.75/hr

Evaluate emerging AI platforms and tools and recommend pragmatic solutions based on business value, scalability, security, and risk * Providetechnical leadership and architectural guidance to teams ...

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Ai Risk information

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.

What are the most commonly searched types of Ai Risk jobs in Massachusetts? The most popular types of Ai Risk jobs in Massachusetts are:
What are popular job titles related to Ai Risk jobs in Massachusetts? For Ai Risk jobs in Massachusetts, the most frequently searched job titles are:
What cities in Massachusetts are hiring for Ai Risk jobs? Cities in Massachusetts with the most Ai Risk job openings:
Infographic showing various Ai Risk job openings in Massachusetts as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Director, Cloud Security & AI Security

Senior Director, Cloud Security & AI Security

Berkshire Hathaway Specialty Insurance

Boston, MA • On-site

Full-time

Posted 18 days ago


Job description

Job Summary:
Berkshire Hathaway Specialty Insurance (BHSI) is a strategic insurance partner seeking a forward-thinking Cloud Security leader with expertise in AI Security. This role involves defining and advancing cloud security strategies, establishing governance and compliance, and leading a team to ensure secure implementations across cloud environments.
Responsibilities:
• Develop and maintain the organization’s cloud security and AI security strategy, standards, and policies across IaaS, PaaS, and SaaS environments.
• Define and enforce cloud architecture security principles aligned with Zero Trust.
• Identify and enforce AI security controls and configurations aligned with our cloud architecture
• Lead cloud and AI risk assessments, gap analysis, and initiative planning.
• Guide migration and modernization efforts to ensure secure-by-design implementations.
• Oversee the configuration, monitoring, and continuous improvement of:
• CSPM (Cloud Security Posture Management)
• CWPP/CNAPP (Cloud Workload Protection / Cloud-Native Security)
• SIEM/SOAR integrations for cloud telemetry
• Identity threat detection (ITDR)
• Direct incident response for cloud-related security events in collaboration with SOC/IR teams.
• Ensure continuous monitoring for misconfigurations, vulnerabilities, and anomalies.
• Support cloud & AI IAM frameworks (least privilege, conditional access, workload identities).
• Drive cloud-related adoption of encryption, secrets management, and key management (BYOK/CMK).
• Ensure efficacy of data classification and DLP controls across cloud environments.
• Embed security controls and testing into CI/CD pipelines in collaboration with AppSec.
• Oversee IaC scanning and container security while supporting SAST/DAST and supply chain security.
• Collaborate with engineering to remediate findings and architect secure workloads.
• Ensure cloud environments meet regulatory and compliance requirements.
• Own cloud security and AI security audits and evidence collection.
• Mature asset inventories, risk registers, and control documentation.
• Build and mentor a team of cloud security & AI security engineers/analysts.
• Provide regular reporting to security leadership and executives.
• Partner across technology, infrastructure, DevOps, and architecture.
Qualifications:
Required:
• 5–10+ years of experience in cybersecurity, with a focus on cloud security.
• Hands-on experience with AWS, Azure, or GCP security services.
• Strong knowledge of Cloud IAM and identity governance.
• Strong knowledge of Network security (VPCs/VNets, firewalls, segmentation).
• Strong knowledge of Cloud-native monitoring, threat detection, and logging.
• Strong knowledge of Infrastructure-as-Code (Terraform, CloudFormation, Bicep).
• Experience with CSPM, CWPP/CNAPP, SIEM, SOAR, and vulnerability management tools.
• Knowledge of compliance frameworks and cloud shared responsibility models.
Company:
Berkshire Hathaway Specialty Insurance is a company providing risk solutions and claims care. Founded in 2013, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.