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Ai Rmf Jobs in Texas (NOW HIRING)

Principal AI Architect

Irving, TX · On-site +1

$225K - $375K/yr

NIST AI RMF, EU AI Act, ISO 42001, SOC 2 AI considerations, and sector-specific requirements (healthcare, financial services). * Experience presenting technical governance topics to executive ...

Principal AI Architect

Irving, TX · On-site

$225K - $375K/yr

NIST AI RMF, EU AI Act, ISO 42001, SOC 2 AI considerations, and sector-specific requirements (healthcare, financial services). * Experience presenting technical governance topics to executive ...

Principal AI Architect

Irving, TX · On-site +1

$225K - $375K/yr

NIST AI RMF, EU AI Act, ISO 42001, SOC 2 AI considerations, and sector-specific requirements (healthcare, financial services). * Experience presenting technical governance topics to executive ...

Identify, assess, and mitigate security risks associated with AI/ML systems Implement controls aligned to OWASP Top 10 for LLMs and NIST AI RMF Perform threat modeling for AI-enabled applications ...

Identify, assess, and mitigate security risks associated with AI/ML systems Implement controls aligned to OWASP Top 10 for LLMs and NIST AI RMF Perform threat modeling for AI-enabled applications ...

S. state AI laws, bar association guidance on AI in legal practice, and frameworks such as the NIST AI RMF and ISO 42001, translating them into actionable firm guidance * Serve as the firm's internal ...

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Ai Rmf information

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.
What cities in Texas are hiring for Ai Rmf jobs? Cities in Texas with the most Ai Rmf job openings:
Infographic showing various Ai Rmf job openings in Texas as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 9% Full Time, 87% Part Time, 1% Temporary, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Security Engineer

Other

Posted 9 days ago


Cetera Financial Group rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz


Job description

Job Description
At Cetera, our Information Security organization protects employees, advisors, and clients from evolving cyber threats across cloud, SaaS, and emerging AI-enabled technologies. As artificial intelligence capabilities expand across the enterprise, Cetera is investing in secure AI adoption, governance, and risk mitigation to ensure innovation aligns with regulatory and security expectations.
We are seeking a skilled security engineer with a strong cloud and application security background to lead and support the secure design, deployment, and governance of AI-driven systems. This role will serve as a key bridge across IT Risk, Cloud Security, Cloud Engineering, and Application Development teams, ensuring AI and cloud services are implemented securely within a regulated financial environment.
What will you do:
Identify, assess, and mitigate security risks associated with AI/ML systems
Implement controls aligned to OWASP Top 10 for LLMs and NIST AI RMF
Perform threat modeling for AI-enabled applications
Propose and validate technical guardrails to prevent unauthorized AI actions and support secure AI development
Identify and assess risk from unsanctioned AI tool usage across the enterprise
Evaluate third-party AI tools for risk and compliance
Design and secure cloud-based AI workloads
Integrate security into CI/CD pipelines
Partner with IT Risk, Cloud Security, and Engineering teams
Support incident response for AI and cloud-related threats
Develop security standards, runbooks, and architecture documentation
Support audits and regulatory compliance activities
What you will have:
5+ years of experience in cloud security, application security, or a combination of both
Hands-on experience securing cloud-native infrastructure and applications
Experience with DevSecOps practices and integrating security into CI/CD pipelines
Understanding of AI/ML concepts and the ability to apply security principles to AI-enabled systems
Familiarity with OWASP (including Top 10 for LLMs) and NIST frameworks (including AI RMF)
Experience in regulated environments (financial services or FINRA preferred)
Strong communication skills across technical and non-technical stakeholders
Preferred Qualifications:
Experience with AWS Bedrock or other AI/ML platforms
Certifications such as AWS Security Specialty, AWS Certified Generative AI Developer - Professional, CISSP, or CCSP
Experience with SAST/DAST tools
Exposure to AI governance and risk frameworks
Familiarity with AI-specific threats such as prompt injection, model poisoning, and data exfiltration

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