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Ai Rmf Jobs in Houston, TX (NOW HIRING)

Mwe

Senior AI Risk & Advisory Manager

Houston, TX · Hybrid

$193K - $301K/yr

Identifyopportunities toleverageAI to improve threat detection, incident response, and defensive operations TECHNOLOGIES LLMs Generative AI Agentic Systems NIST AI RMF ISO 42001 EU AI Act AI Security ...

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How much do ai rmf jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ai rmf in Houston, TX is $91,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $110,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in AI Risk Management Framework (RMF) roles?

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 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 the key skills and qualifications needed to thrive as an AI Risk Management Framework (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 are AI RMF professionals?

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.
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What job categories do people searching Ai Rmf jobs in Houston, TX look for? The top searched job categories for Ai Rmf jobs in Houston, TX are:
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Ai Rmf jobs near you
Information Security Architect - AI

Information Security Architect - AI

Wolters Kluwer

Houston, TX • On-site

Full-time

Posted 6 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 245 rated software companies

Job description

Job Summary:
Wolters Kluwer is seeking an Information Security Architect specializing in AI risk management to accelerate the secure adoption of Generative AI across the enterprise. This role involves acting as a strategic partner to business and IT leaders to streamline security reviews and ensure compliance with industry standards.
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.
Qualifications:
Required:
• 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:
• 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.
Company:
Wolters Kluwer (EURONEXT: WKL) is a global leader in information, software solutions and services for professionals in healthcare; tax and accounting; financial and corporate compliance; legal and regulatory; corporate performance and ESG. Founded in 1836, the company is headquartered in Alphen aan den Rijn, NL, , with a team of 10001+ employees. The company is currently Late Stage.

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