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Ai Rmf Jobs in Fort Lee, NJ (NOW HIRING)

MAP SSG

AI Security Specialist

Manhattan, NY

$140K - $180K/yr

Regulatory Alignment -- Track and operationalize NIST AI RMF, EU AI Act, NY DFS Part 500, and client-specific AI requirements. Compensation : -The anticipated base salary range offered for this role ...

Med-Metrix

Senior Cloud Security Engineer

Parsippany, NJ · On-site

$115K - $157K/yr

Design and implement security controls supporting HIPAA, HITRUST, PCI DSS, SOC 2, NIST CSF, and NIST AI RMF requirements * Support technical readiness, evidence collection, and remediation activities ...

Legora

GRC Lead

Manhattan, NY · On-site

$150 - $210/hr

Operate the AI governance program: the AI system and agent inventory, risk classification, and alignment to NIST AI RMF. * Track the AI regulatory landscape (EU AI Act provider and deployer ...

Legora

GRC Lead

New York, NY · On-site

$232K - $273K/yr

Operate the AI governance program: the AI system and agent inventory, risk classification, and alignment to NIST AI RMF. * Track the AI regulatory landscape (EU AI Act provider and deployer ...

Zelis

AI Security Architect

Morristown, NJ · On-site +1

$169K - $213K/yr

Ensure compliance with enterprise, industry, and regulatory frameworks (e.g., NIST AI RMF, GDPR, HIPAA, SOC2, ISO 42001). Partner with data science, platform engineering, cloud security, product, and ...

Triwill Group

Senior AI Governance Counsel

Manhattan, NY · On-site

$210 - $275/hr

Solid working knowledge of the EU AI Act, NIST AI RMF, and ISO/IEC 42001, along with global privacy regulations (GDPR, CCPA/CPRA). * Generative & Agentic AI Experience: Familiarity with LLMs ...

Adyen

Senior AI Governance Counsel

New York, NY · On-site

$152K - $207K/yr

Solid working knowledge of the EU AI Act, NIST AI RMF, and ISO/IEC 42001, along with global privacy regulations (GDPR, CCPA/CPRA). * Generative & Agentic AI Experience: Familiarity with LLMs ...

Adyen

Senior AI Governance Counsel

New York, NY

$152K - $207K/yr

Solid working knowledge of the EU AI Act, NIST AI RMF, and ISO/IEC 42001, along with global privacy regulations (GDPR, CCPA/CPRA). * Generative & Agentic AI Experience: Familiarity with LLMs ...

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All JobsAi Rmf JobsAi Rmf Jobs in Fort Lee, NJ

Ai Rmf information

See Fort Lee, NJ salary details

$36K

$100.2K

$171.2K

How much do ai rmf jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai rmf in Fort Lee, NJ is $100,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $120,500.00 per year, depending on experience, location, and employer.

What is an AI RMF professional?

AI RMF professionals are experts who specialize in implementing and managing the Artificial Intelligence Risk Management Framework (AI RMF). This framework, developed by NIST, provides structured guidance for organizations to identify, assess, and mitigate risks associated with artificial intelligence systems. AI RMF professionals help ensure that AI technologies are trustworthy, ethical, and comply with relevant standards and regulations. Their work involves risk assessment, policy development, and collaboration with technical and compliance teams to integrate responsible AI practices.

What are some common challenges faced by AI RMF professionals?

Professionals in AI RMF roles often encounter challenges such as keeping up with rapidly evolving regulatory requirements and ensuring that AI systems remain compliant throughout their lifecycle. Another common challenge is collaborating effectively with cross-functional teams—including data scientists, legal, and IT security—to identify and mitigate risks associated with AI models. Additionally, balancing the need for innovative AI solutions with responsible risk management can be complex, requiring strong communication and critical thinking skills.

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

To thrive as an AI RMF Specialist, you need expertise in risk management, AI/ML systems, compliance, and typically a background in computer science, data science, or cybersecurity. Familiarity with NIST AI RMF, model governance tools, and regulatory compliance platforms is essential, and certifications like CISSP or CISM are often advantageous. Strong analytical thinking, communication, and stakeholder management skills help navigate complex technical and ethical considerations. These abilities are crucial to ensure organizations deploy AI responsibly, mitigate risks, and meet legal and ethical standards.

What is the difference between Ai Rmf vs Ai Rmp?

AspectAi RmfAi Rmp
CertificationsRegistered Medical Fitness (RMF) certificationRegistered Medical Practitioner (RMP) license
Work EnvironmentMedical clinics, health screening centersHospitals, clinics, private practices
Industry UsageHealth screening, medical assessmentsMedical diagnosis, treatment
Common Search IntentRoles in medical fitness assessmentsMedical diagnosis and patient care

Ai Rmf and Ai Rmp are related healthcare roles but differ mainly in certification and scope. Ai Rmf focuses on medical fitness assessments, often in health screening centers, while Ai Rmp involves broader medical diagnosis and patient treatment. Understanding these differences helps in choosing the right career path or job role in the healthcare industry.

What cities near Fort Lee, NJ are hiring for Ai Rmf jobs?

Cities near Fort Lee, NJ with the most Ai Rmf job openings:

Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in Fort Lee, NJ as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $100,246 per year, or $48.2 per hour.

AI Security Specialist

Milbank, Tweed, Hadley & McCloy LLP

Manhattan, NY • On-site

$140 - $180/hr

Other

Posted 17 days ago

Job description

Overview

The AI Security Specialist safeguards the firm's use of artificial intelligence – from Microsoft Copilot and generative AI tools to internal ML models and third‑party AI services. This role establishes guardrails, monitors AI usage, evaluates emerging AI products, and ensures all AI deployments meet legal, regulatory, and client confidentiality obligations.

Responsibilities
  • AI Risk Assessment – Evaluate security, privacy, and compliance risks of AI tools before adoption (Copilot, ChatGPT Enterprise, Anthropic Claude, e‑discovery AI, etc.).
  • Threat Detection – Monitor for AI‑specific threats: prompt injection, model poisoning, data exfiltration via LLMs, and shadow AI usage.
  • Vendor & Model Review – Conduct security reviews of AI vendors, including data residency, training data usage, retention, and SOC 2 / ISO 42001 posture.
  • Data Protection – Partner with other business units to prevent privileged client data, work product, and PII from leaking into public or improperly governed AI systems.
  • Incident Response – Lead investigation and response for AI‑related incidents (data leakage, model abuse, compromised AI accounts).
  • AI Red Teaming – Plan and execute adversarial testing programs against internal and vendor AI systems: prompt injection, jailbreaks, data exfiltration, model inversion, training data extraction, and agent abuse. Coordinate engagements with external red teams for high‑risk deployments and translate findings into prioritized remediations.
  • Training & Awareness – Build and deliver AI security training and advice on safe use of AI.
  • Regulatory Alignment – Track and operationalize NIST AI RMF, EU AI Act, NY DFS Part 500, and client‑specific AI requirements.

Compensation: The anticipated base salary range offered for this role will be between $140,000 to $180,000 and represents the firm’s good faith and reasonable estimate of the range of possible base compensation. Actual base compensation will be dependent upon several factors, including but not limited to the candidate’s relevant experience, performance, qualifications, degrees, and location, well as the needs of the firm.

Qualifications
  • 5+ years in information security, with 2+ years focused on AI/ML security or AI governance.
  • Demonstrated hands‑on AI red team experience – including prompt injection and jailbreak testing, adversarial ML techniques, LLM/agent abuse scenarios, and structured engagements aligned to OWASP Top 10 for LLMs and MITRE ATLAS.
  • Proficiency with AI red teaming tooling such as Microsoft PyRIT, NVIDIA Garak, Promptfoo, Giskard, or comparable frameworks; ability to author custom probes and harnesses.
  • Strong working knowledge of LLM architectures, RAG systems, and AI agent frameworks.
  • Experience securing Microsoft 365 Copilot, Azure OpenAI, Anthropic Claude or comparable enterprise AI platforms.
  • Understanding of data classification, DLP, and identity governance (Purview, Entra).
  • Bachelor’s degree in Computer Science, Cybersecurity, or related field.
Required Certifications

Candidates must hold one or more of the following:

  • CISSP – Certified Information Systems Security Professional (ISC²)
  • CISM – Certified Information Security Manager (ISACA)
Preferred Qualifications
  • Experience in a law firm, financial services, or other highly regulated environment.
  • Prior participation in AI/ML CTFs, bug bounties (e.g., HackerOne AI programs), or published AI red team research.
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