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Ai Rmf Jobs in New York (NOW HIRING)

Apetan Consulting llc

PAM Engineer

New York, NY · On-site

$80 - $150/hr

Knowledge of NIST AI RMF, ISO AI governance concepts, OWASP Top 10 for LLM/Agentic Applications, MITRE ATLAS, or similar frameworks. Familiarity with identity, authorization, and access models for AI ...

AvePoint

Forward Deployed Engineer - AI

New York, NY · On-site

EU AI Act, NIS2, ISO/IEC 42001, NIST AI RMF, or Gartner's AI TRiSM model. * Experience with AI security topics: prompt injection, data leakage, agent permissioning, model and data security posture ...

AvePoint

Forward Deployed Engineer - AI

New York, NY

EU AI Act, NIS2, ISO/IEC 42001, NIST AI RMF, or Gartner's AI TRiSM model. * Experience with AI security topics: prompt injection, data leakage, agent permissioning, model and data security posture ...

WebMD

Risk & Compliance Engineer

Newark, NJ · On-site

Familiarity with AI/agentic systems and emerging AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001) - helpful for assessing AI vendors, but not required. * Relevant certifications (e.g ...

WebMD

Risk & Compliance Engineer

Newark, NJ · On-site

Familiarity with AI/agentic systems and emerging AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001) - helpful for assessing AI vendors, but not required. * Relevant certifications (e.g ...

WebMD LLC

Risk & Compliance Engineer

Newark, NJ · On-site

Familiarity with AI/agentic systems and emerging AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001) -- helpful for assessing AI vendors, but not required. * Relevant certifications (e.g ...

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Ai Rmf information

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 are popular job titles related to Ai Rmf jobs in New York?

For Ai Rmf jobs in New York, the most frequently searched job titles are:

What job categories do people searching Ai Rmf jobs in New York look for?

The top searched job categories for Ai Rmf jobs in New York are:

What cities in New York are hiring for Ai Rmf jobs?

Cities in New York with the most Ai Rmf job openings:

Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in New York as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

PAM Engineer

New York, NY • On-site

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$80 - $150/hr

Contractor

Re-posted 22 days ago

Job description

Job Title: PAM Engineer
Job Location : Open to NY, NY; Alpharetta, GA; or Montreal, CAN -
3 days a week on site at one of these locations.
Duration : 6 month expected chance of hire
 
Responsibilities
Required Skills and Experience
Strong hands-on experience as a PAM Engineer, IAM Engineer, Security Engineer, AI Platform Engineer, or similar technical role.
Experience with enterprise PAM platforms such as CyberArk, BeyondTrust, Delinea, One Identity, or similar technologies.
Strong understanding of privileged access, service accounts, non-human identities, least privilege, JIT access, RBAC, access workflows, and session control.
Proven experience building or supporting production AI, LLM, automation, or platform engineering solutions.
Deep knowledge of LLM concepts, including model selection, prompt engineering, grounding techniques, hallucination mitigation, drift monitoring, and evaluation.
Experience with agent frameworks, orchestration patterns, tool-using agents, multi-agent workflows, and agent lifecycle management.
Solid background in cloud-native architecture, APIs, distributed systems, data pipelines, and modern MLOps/LLMOps practices.
Ability to integrate AI solutions with enterprise platforms, security controls, identity systems, monitoring tools, and compliance processes.
Strong understanding of secure software development, access control design, logging, observability, and production support.
Experience working in large, complex, regulated enterprise environments, preferably financial services.
Preferred Qualifications
Experience implementing AI governance and control frameworks, including model controls, guardrails, evaluation, monitoring, and auditability.
Knowledge of NIST AI RMF, ISO AI governance concepts, OWASP Top 10 for LLM/Agentic Applications, MITRE ATLAS, or similar frameworks.
Familiarity with identity, authorization, and access models for AI agents, service accounts, machine identities, and non-human identities.
Experience designing secure AI systems for regulated industries, including financial services, banking, insurance, or capital markets.
Experience with hybrid cloud environments and enterprise-scale deployment patterns.
Experience remediating hardcoded credentials, unmanaged service accounts, excessive privileges, and privileged access risks.
Experience supporting audit, risk, compliance, and regulatory control testing.
Ideal Candidate Profile
A security-minded engineer who understands both PAM fundamentals and modern AI architecture.
Comfortable working hands-on while also providing technical leadership and architectural direction.
Able to design AI-enabled automation that is secure, explainable, auditable, and appropriate for a regulated enterprise.
Strong communicator who can partner across cybersecurity, IAM, AI engineering, infrastructure, application, cloud, risk, and audit teams.
Practical, production-focused, and able to balance innovation with governance, reliability, and control.

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