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Ai Rmf Jobs in Spring, TX (NOW HIRING)

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Ai Rmf information

See Spring, TX salary details

$30.7K

$85.5K

$145.9K

How much do ai rmf jobs pay per year?

As of Jun 12, 2026, the average yearly pay for ai rmf in Spring, TX is $85,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $102,800.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other incentives that contribute to the total compensation.

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.

Which 3 jobs will survive AI?

For an AI RMF (Risk Management Framework) specialist, jobs that involve complex decision-making, strategic planning, and human oversight are more likely to survive AI automation. These include roles such as cybersecurity analysts, compliance managers, and risk auditors, which require critical thinking, understanding of organizational context, and interpersonal skills that AI cannot fully replicate.

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.

What job makes $10,000 a month without a degree?

In the field of AI RMF (Risk Management Framework), high-paying roles such as AI project managers or senior data analysts can earn $10,000 or more monthly without a formal degree, provided they have strong technical skills, certifications, and experience. These roles often require expertise in AI tools, cybersecurity, or risk assessment, and may involve self-education or industry certifications instead of traditional degrees.

What is an AI RMF?

An AI RMF (Artificial Intelligence Risk Management Framework) is a structured approach used by AI professionals to identify, assess, and mitigate risks associated with AI systems. It involves implementing best practices, standards, and tools to ensure AI safety, reliability, and compliance throughout the development and deployment process.
What job categories do people searching Ai Rmf jobs in Spring, TX look for? The top searched job categories for Ai Rmf jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Rmf jobs? Cities near Spring, TX with the most Ai Rmf job openings:
Ai Rmf jobs near you

Information Security Architect - AI

Wolters Kluwer N.V.

Houston, TX • On-site

$107K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

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 USD
This 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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