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Ai Rmf Jobs in Nevada (NOW HIRING)

CreditOne

Lead AI Security Engineer

Las Vegas, NV · On-site

Sector-specific AI governance and risk management expectations are increasingly being formalized through frameworks such as the NIST AI RMF. Essential Job Functions * Lead security initiatives for ...

Lnw

AI Engineer / AI Analyst

Las Vegas, NV · Remote

Familiarity with Responsible AI and risk-management frameworks (e.g., NIST AI RMF, EU AI Act risk classification, model lifecycle controls). * Experience supporting GenAI/LLM initiatives including ...

Maximus

AI/ML Software Developer

Sparks, NV · On-site

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies * Supports system accreditation, documentation, testing, and evaluation activities * Collaborates ...

Maximus

AI/ML Software Developer

Las Vegas, NV · Remote

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies * Supports system accreditation, documentation, testing, and evaluation activities * Collaborates ...

Maximus

AI/ML Software Developer

Carson City, NV · On-site

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies * Supports system accreditation, documentation, testing, and evaluation activities * Collaborates ...

Maximus

AI/ML Software Developer

Henderson, NV · Remote

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies * Supports system accreditation, documentation, testing, and evaluation activities * Collaborates ...

Maximus

AI/ML Software Developer

Carson City, NV · Remote

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies * Supports system accreditation, documentation, testing, and evaluation activities * Collaborates ...

Maximus

AI/ML Software Developer

Las Vegas, NV · On-site

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies * Supports system accreditation, documentation, testing, and evaluation activities * Collaborates ...

Maximus

AI/ML Software Developer

Sparks, NV · Remote

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies * Supports system accreditation, documentation, testing, and evaluation activities * Collaborates ...

Maximus

AI/ML Software Developer

Henderson, NV · On-site

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies * Supports system accreditation, documentation, testing, and evaluation activities * Collaborates ...

All JobsAi Rmf JobsAi Rmf Jobs in Nevada

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 Nevada? For Ai Rmf jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Ai Rmf jobs in Nevada look for? The top searched job categories for Ai Rmf jobs in Nevada are:
What cities in Nevada are hiring for Ai Rmf jobs? Cities in Nevada with the most Ai Rmf job openings:
Ai Rmf jobs near you

Lead AI Security Engineer

CreditOne

Las Vegas, NV • On-site

Full-time

Posted 17 days ago

Job description

Description
Position Summary
We are seeking an experienced AI Security Engineer to lead the design, implementation, and operationalization of security controls for our LLM-powered applications, AI platforms, and model-hosting infrastructure. This role will focus on protecting AI systems from prompt injection, sensitive data leakage, insecure tool use, model abuse, and cloud/infrastructure threats, while helping establish secure engineering patterns for the next generation of AI-enabled products. The role sits at the intersection of Application Security, Cloud Security, and AI Platform Engineering.
The ideal candidate combines offensive and defensive security expertise with strong experience in secure system design, cloud infrastructure, CI/CD, containers, and modern software delivery pipelines. You will help define and execute new AI security initiatives across the enterprise, especially in a regulated financial services environment where confidentiality, resilience, governance, and auditability are critical. Sector-specific AI governance and risk management expectations are increasingly being formalized through frameworks such as the NIST AI RMF.
Essential Job Functions
  • Lead security initiatives for LLM-powered applications, copilots, agentic systems, and AI-assisted workflows.
  • Design and implement controls to reduce the risks of prompt injection, sensitive information disclosure / data leakage, improper output handling, excessive agent autonomy, model and AI supply chain risk, vector / embedding and retrieval-related weaknesses.
  • Partner with engineering teams to embed secure-by-design patterns into AI application development, deployment, and operations.
  • Create guardrails for AI systems that process customers, employees, and regulate financial data.
  • Architect and implement AI gateway controls that centralize security policy enforcement for model traffic, including prompt inspection, response filtering, PII/secret redaction, model access control, rate limiting / abuse prevention, audit logging and evidence generation.
  • Define runtime security policies for AI interactions across internal applications, APIs, tools, and model providers.
  • Build detection and response capabilities for malicious prompts, unsafe model behavior, and data exfiltration attempts.
  • Secure systems built on the Model Context Protocol (MCP) and related AI tool-integration patterns.
  • Define security requirements for MCP servers, proxy servers, and tool connectors, including authentication and authorization, least privilege, schema/input validation, secrets management, network isolation, sandboxing, logging and auditability, third-party server risk review.
  • Assess and mitigate risks associated with MCP architecture, including authorization flaws, confused-deputy scenarios, and unsafe execution paths.
  • Partner with Cloud Security, Platform Engineering, and DevOps to implement hardening, segmentation, identity controls, observability, and incident response readiness.
  • Work closely with Security, Engineering, Legal, Compliance, Risk, and Product teams to align AI security controls with regulatory and internal risk expectations.
  • Help define AI security standards, reference architectures, guardrails, and review processes appropriate for a financial industry environment.

Position Requirements
  • 5+ years of experience in cybersecurity with a strong mix of offensive and defensive security tactics.
  • Deep familiarity with the OWASP Top 10 for LLM Applications
  • Hands-on experience with Docker, Kubernetes, and Cloud Security (AWS/Azure/GCP).
  • Experience designing and securing AI gateways, API proxies, or centralized policy enforcement layers for AI workloads.
  • Working knowledge of MCP server security and secure tool-integration patterns, including identity, authorization, validation, proxy risks, and logging.
  • Strong communication skills with the ability to work across Application Security, Cloud Infrastructure, Platform Engineering, and Product Engineering teams.
  • Familiarity with AI red teaming methodologies and adversarial testing for LLM applications.
  • Ability to translate complex AI risks into actionable technical requirements for developers and executive stakeholders.
  • Familiarity with regulatory frameworks (e.g., NIST AI RMF, ISO/IEC 42001)

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

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