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Ai Rmf Jobs in Chicago, IL (NOW HIRING)

TEKsystems

AI Security Risk Assessor

Chicago, IL · Remote

$75 - $100/hr

NIST AI RMF NIST Cybersecurity Framework MITRE ATLAS AI Threat Modeling AI Red Teaming Third-Party Risk Management Certifications: CISSP CRISC CGRC CISA AIGP Job Type & Location This is a Contract ...

Relativity

Senior AI Security Engineer

Chicago, IL · On-site

$118K - $161K/yr

Conduct hands-on AI security reviews and threat modeling using frameworks such as STRIDE, MITRE ATLAS, and NIST AI RMF * Propose and implement safeguards for software products, tools, and ...

Legora

Customer Trust Specialist

Chicago, IL · On-site

$17.50 - $23.25/hr

Answer the AI-trust questions buyers now ask: questions on training-data handling and retention, model-provider subprocessors, data residency, and our EU AI Act, ISO/IEC 42001, and NIST AI RMF ...

Cna

AI Security Consulting Director

Chicago, IL · Hybrid

$97K - $189K/yr

Apply industry standards and frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS) to reviews and assessments. * Contribute to AI security standards, reference architectures, andbest ...

CNA

AI Security Consulting Director

Chicago, IL · On-site

$97K - $189K/yr

Apply industry standards and frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS) to reviews and assessments. * Contribute to AI security standards, reference architectures, and best ...

AVEVA

AI Software Engineer

Lake Forest, IL · On-site +1

$103K - $172K/yr

Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. * Experience working in Agile teams and collaborating across global R&D locations ...

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Ai Rmf information

See Chicago, IL salary details

$35.5K

$98.9K

$168.9K

How much do ai rmf jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai rmf in Chicago, IL is $98,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $119,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI RMF professionals?

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 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 is an AI RMF professional?

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 Chicago, IL?

For Ai Rmf jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Ai Rmf jobs in Chicago, IL look for?

The top searched job categories for Ai Rmf jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Ai Rmf jobs?

Cities near Chicago, IL with the most Ai Rmf job openings:

Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in Chicago, IL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $98,942 per year, or $47.6 per hour.

IT Solutions Architect - AI

Stellar IT Group

Chicago, IL • On-site

Full-time

Re-posted 5 hours ago

Job description

Overview:
IT Solutions Architect - AI
Location: Chicago, IL
Employment Type: Contract 7+ Months
Work Model: Hybrid (Onsite Tuesday-Thursday, 8 AM - 5 PM CST)
Role Overview
Northern Trust is seeking a Senior AI Security Engineer to lead the design, assessment, and governance of security controls for enterprise AI and machine learning systems. This role blends cybersecurity architecture, IAM, and emerging AI/ML technologies, ensuring secure deployment of AI workloads-including large language models, agentic frameworks, and ML pipelines-within a regulated environment.
Key Responsibilities
  • Architect and implement security frameworks for AI/ML platforms (model hosting, inference endpoints, training pipelines, agentic AI).
  • Develop and enforce identity, authentication, and authorization (IAA/IAM) controls, ensuring least-privilege access and secure token flows (OAuth 2.0, OBO, managed identities).
  • Conduct threat modeling and risk assessments using OWASP AI Top 10, MITRE ATLAS, and NIST AI RMF.
  • Harden AI supply chain components (model registries, MCP servers, API gateways, third-party integrations).
  • Define IAM policies and RBAC for AI environments across Azure, AWS, and GCP.
  • Collaborate with data science, engineering, and compliance teams to embed security guardrails into the AI lifecycle.
  • Author security documentation (architecture records, risk assessments, implementation guides).
  • Monitor evolving AI threat vectors (prompt injection, tool poisoning, model manipulation, data exfiltration) and implement actionable controls.
  • Present findings and recommendations to leadership and governance boards.
  • Contribute to enterprise AI security standards and policies.
Required Qualifications
  • 7+ years in cybersecurity, with 3+ years in security architecture/engineering.
  • Strong knowledge of network, application, and data security; zero-trust principles.
  • Hands-on IAM experience (Azure AD/Entra ID, Okta, Ping, AWS IAM).
  • Expertise in authentication/authorization protocols (OAuth 2.0, OIDC, SAML, SCIM).
  • 1-3 years of experience securing AI/ML systems (LLM deployments, agentic frameworks, ML pipelines).
  • Familiarity with AI threat vectors (prompt injection, data poisoning, model inversion, plugin abuse).
  • Exposure to AI governance frameworks (NIST AI RMF, EU AI Act, OWASP AI Top 10, MITRE ATLAS).
  • Excellent communication skills; ability to translate technical risks into business language.
Preferred Qualifications
  • Experience in financial services or regulated industries (SOX, GDPR, MiFID II).
  • Hands-on with Microsoft Azure/M365 security ecosystems (Entra ID, Copilot Studio, Defender for Cloud, Purview).
  • Familiarity with API gateway security for AI services (Azure APIM, Kong, Cloudflare AI Gateway).
  • Knowledge of secure MLOps pipeline design, container security, and model scanning.
  • Certifications: CISSP, CCSP, CISM, Azure Security Engineer Associate, or AI-specific credentials.
  • Experience with Model Context Protocol (MCP) security controls.
  • Contributions to security communities, mentoring, or publishing research.

Skills:
Artificial Intelligence,security,IAM

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