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Ai Risk Management Framework Jobs in New York (NOW HIRING)

Grow Therapy

Senior/Staff TPM, Security Risk

New York, NY · On-site

$152K - $241K/yr

Lead the charge on AI risk management: Security sits within Grow's Internal Foundations pillar ... You bring strong knowledge of healthcare security, privacy, and compliance frameworks (HIPAA, SOC ...

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Ai Risk Management Framework information

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

To thrive as an AI Risk Management Framework Specialist, you need expertise in risk assessment, AI/ML systems, and regulatory compliance, typically supported by a degree in computer science, data science, or a related field. Familiarity with frameworks like NIST AI RMF, risk management tools, and governance platforms is often required, as well as relevant certifications such as CRISC or CISSP. Strong analytical thinking, attention to detail, and clear communication skills help professionals navigate complex technical and ethical challenges. These skills ensure the safe, ethical, and compliant deployment of AI systems within organizations.

What are some common challenges encountered when implementing an AI Risk Management Framework in an organization?

Implementing an AI Risk Management Framework often involves navigating challenges such as aligning diverse stakeholder expectations, integrating risk assessments into existing workflows, and ensuring compliance with rapidly evolving regulations. Team members may need to bridge knowledge gaps between technical AI development and risk management practices, which requires effective communication and training. Additionally, organizations must continuously update their frameworks to address new AI risks, making adaptability and ongoing learning essential for success in this role.

What is the difference between Ai Risk Management Framework vs Data Scientist?

AspectAi Risk Management FrameworkData Scientist
Primary FocusIdentifying and mitigating AI-related risks, ensuring ethical and safe AI deploymentAnalyzing data to extract insights, build models, and support decision-making
Required CredentialsKnowledge of AI ethics, risk assessment, and relevant certificationsDegree in data science, statistics, or related fields; programming skills
Work EnvironmentCorporate, tech companies, industries deploying AI systemsResearch labs, tech firms, finance, healthcare

The Ai Risk Management Framework focuses on managing risks associated with AI systems, ensuring safety and compliance. In contrast, Data Scientists primarily analyze data to develop models and generate insights. While both roles require technical skills, their core objectives differ: risk mitigation versus data analysis.

What is an AI Risk Management Framework?

An AI Risk Management Framework is a structured approach for identifying, assessing, and mitigating risks associated with the design, development, deployment, and use of artificial intelligence systems. It provides guidelines and best practices to ensure AI systems are trustworthy, ethical, and aligned with legal and societal expectations. Organizations use these frameworks to address potential challenges such as bias, security vulnerabilities, privacy concerns, and unintended consequences. By implementing an AI risk management framework, companies can better manage risks and improve transparency and accountability in their AI initiatives.
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Infographic showing various Ai Risk Management Framework job openings in New York as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Information Security Architect - AI

Wolters Kluwer

New York, NY • On-site

$107K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Wolters Kluwer rating

9.0

Company rating: 9.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies

Job description

Information Security Architect - AI Risk Management

Job Overview

We are seeking an Information Security Architect specializing in AI risk management to accelerate the secure adoption of Generative AI across the enterprise. This role acts as a strategic partner to business and IT leaders, streamlining reviews, shaping security controls, and ensuring AI deployments align with industry standards, regulatory expectations, and enterprise risk appetite. The successful candidate will combine deep security expertise with a forward-looking grasp of AI governance, enabling the organization to innovate confidently and securely.

Primary Responsibilities

  • Review and assess Generative AI implementations to identify risks and ensure compliance with enterprise policies, industry standards, and regulatory frameworks.
  • Design and implement security controls aligned with both IT systems and business objectives, with emphasis on AI-specific risks.
  • Develop and apply AI risk models aligned with NIST AI RMF, ISO/IEC 42001, and other emerging frameworks.
  • Integrate AI risk considerations into enterprise governance processes; lead or support reviews of AI and emerging technology deployments.
  • Apply threat modeling techniques such as the OWASP Top 10 for LLMs to identify, prioritize, and mitigate AI-specific risks.
  • Collaborate with cross-functional teams (engineering, data science, compliance, product) to embed security into AI solution design and deployment.
  • Continuously monitor emerging trends in AI governance, security standards, and enterprise risk management best practices.

Required Qualifications

  • Strong understanding of AI risk management, with working knowledge of NIST AI RMF and ISO/IEC 42001.
  • Experience in information security with proven ability to assess and implement controls for IT and cloud environments.
  • Familiarity with AI threat models (e.g., OWASP LLM Top 10) and risk mitigation strategies.
  • Strong grasp of cybersecurity fundamentals, IT risk, and enterprise governance.
  • Excellent communication skills, with ability to translate technical risks into business-aligned narratives.
  • Certifications: CISSP, CISA, CISM, or relevant AI governance certifications (e.g., ISACA AI Governance).

Preferred Qualifications

  • Hands-on experience with leading AI platforms, including:
    • Azure OpenAI Services - secure deployment and governance practices.
    • AWS Bedrock - evaluation and integration of models such as Anthropic Claude.
    • Google Cloud Vertex AI - secure implementations within enterprise contexts.
    • Microsoft Copilot - integration patterns and associated risks.
  • Experience with cloud security best practices and enterprise risk management.
  • Background in designing or operationalizing AI governance programs at scale.

Soft Skills

  • Ability to influence and engage stakeholders across technical and business teams.
  • Strong problem-solving, critical thinking, and analytical skills.
  • Collaborative, proactive, and adaptable mindset.

Justification for the Role

The rapid increase in AI implementations within the organization has created a bottleneck in the risk assessment process. This dedicated role will streamline evaluations, accelerate secure adoption, and strengthen enterprise resilience by embedding AI risk management into both governance and technical design.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$107,500.00 - $188,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

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