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Ai Rmf Jobs in Texas (NOW HIRING)

TEKsystems

Practice Architect AI/ML

Dallas, TX

$136K - $204K/yr

NIST AI RMF, ISO/IEC 42001, or the EU AI Act. - Security background: secure code review, threat modeling, or OWASP LLM Top 10 assessment of AI workloads. - Hands-on experience building MCP servers or ...

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Cetera

AI Security Engineer

Dallas, TX · On-site

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 ...

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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 are popular job titles related to Ai Rmf jobs in Texas? For Ai Rmf jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Rmf jobs in Texas look for? The top searched job categories for Ai Rmf jobs in Texas are:
What cities in Texas are hiring for Ai Rmf jobs? Cities in Texas with the most Ai Rmf job openings:
Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in Texas as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

Director, Enterprise Architecture, AI Architect

Celanese International Corporation

Irving, TX

Full-time

Posted 16 days ago

Job description

The Director, Enterprise Architecture, AI Architect will lead the design, security, governance, and continuous evolution of enterprise AI solutions across all IT solutions and business domains, including manufacturing and supply chain. Additionally establishes and operates the AI Center of Excellence (CoE) to drive standardization, governance, and innovation across all AI initiatives. The position will be located at our Irving, Texas office.


  • Define enterprise AI architecture and reference models across all applications, platforms, and data domains
  • Design secure AI, Agentic AI and GenAI systems for enterprise use cases including manufacturing, supply chain, and business functions
  • Lead AI security architecture including data protection, IAM, and secure integrations across IT environments
  • Establish governance frameworks, lifecycle management, and regulatory compliance
  • Ensure AI governance aligns with EU AI Act, NIST AI RMF, and ISO/IEC 42001 standards
  • Implement cost control strategies and FinOps practices
  • Define AI engineering standards (RAG, prompt engineering, LLMOps)
  • Provide executive advisory on AI strategy, risks, and investments
  • Closely collaborate with delivery and security teams and enforce architecture quality standards
  • Establish and lead the AI Center of Excellence (CoE)
  • Govern adherence to defined AI architecture standards, processes, and procedures via the CoE
  • Define, evolve, and publish new AI architecture standards and best practices
  • Drive reuse of patterns, components, and platforms across AI initiatives
  • Facilitate cross-functional collaboration through the CoE to scale AI capabilities

Key Performance Indicators

  • Adoption of standardized AI architecture across the enterprise
  • Zero or minimal critical security incidents
  • Compliance with governance and regulatory standards (EU AI Act, NIST AI RMF, ISO/IEC 42001)
  • AI cost efficiency and optimization
  • Business impact across functions (operations, supply chain, finance, customer solutions)
  • Adoption and effectiveness of AI CoE standards and operating model

Scope & Impact

  • Enterprise-wide scope across all IT solutions and business domains
  • Covers cloud, data platforms, enterprise applications, and integration layers
  • Direct impact on operational efficiency, risk posture, and digital transformation
  • Ownership of enterprise AI standards, governance, and CoE operating model

Experience & Qualifications

  • Bachelor's degree or higher in a technology related field
  • 10+ years of progressive experience in enterprise architecture, AI architecture, data management, or broader IT functions
  • Extensive experience in enterprise AI architecture
  • Experience with IoT
  • Hands-on experience with production Agentic and GenAI systems
  • Hands-on experience with AI cost control
  • Strong cybersecurity and risk management mindset
  • Experience across multiple enterprise platforms and domains
  • Experience establishing or leading Centers of Excellence or governance bodies
  • Familiarity with leading AI governance frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001)

Core Competencies

  • Enterprise & AI Architecture
  • Multi-platform Integration (ERP, Cloud, Data Platforms, Applications)
  • Agentic AI / GenAI / LLM Architecture (RAG, LLMOps)
  • Cybersecurity and Risk Management
  • AI Governance Frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001)
  • Strategic Thinking and Leadership
  • Proven ability to collaborate effectively within teams, communicate seamlessly across various domains, and influence stakeholders at all levels including colleagues and key decision-makers. 

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