ZipRecruiter

Log In

1

Ai Rmf Jobs (NOW HIRING)

Worth AI

Director of Compliance- GRC

Atlanta, GA · On-site +1

Familiarity with AI governance, automated decisioning oversight, model risk concepts, and emerging AI regulatory frameworks such as the EU AI Act or NIST AI RMF * Ability to communicate effectively ...

New

McKesson

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 ...

Worth AI

Director of Compliance- GRC

Tampa, FL · On-site +1

Familiarity with AI governance, automated decisioning oversight, model risk concepts, and emerging AI regulatory frameworks such as the EU AI Act or NIST AI RMF * Ability to communicate effectively ...

New

Worth AI

Director of Compliance- GRC

Orlando, FL · On-site +1

Familiarity with AI governance, automated decisioning oversight, model risk concepts, and emerging AI regulatory frameworks such as the EU AI Act or NIST AI RMF * Ability to communicate effectively ...

New

McKesson

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 ...

HCLTech

AI Architect

Santa Clara, CA

Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability : Architect scalable integration patterns for agentic systems ...

Worth AI

Director of Compliance- GRC

Orlando, FL · On-site +1

Familiarity with AI governance, automated decisioning oversight, model risk concepts, and emerging AI regulatory frameworks such as the EU AI Act or NIST AI RMF * Ability to communicate effectively ...

New

Worth AI

Director of Compliance- GRC

Tampa, FL · Remote

Familiarity with AI governance, automated decisioning oversight, model risk concepts, and emerging AI regulatory frameworks such as the EU AI Act or NIST AI RMF * Ability to communicate effectively ...

New

Worth AI

Director of Compliance- GRC

Miami, FL · On-site +1

Familiarity with AI governance, automated decisioning oversight, model risk concepts, and emerging AI regulatory frameworks such as the EU AI Act or NIST AI RMF * Ability to communicate effectively ...

New

next page

Showing results 1-20

All JobsAi Rmf Jobs

Ai Rmf information

See salary details

$34.5K

$96K

$164K

How much do ai rmf jobs pay per year?

As of Jun 12, 2026, the average yearly pay for ai rmf in the United States is $96,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $115,500.00 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.
More about Ai Rmf jobs
What cities are hiring for Ai Rmf jobs? Cities with the most Ai Rmf job openings:
What states have the most Ai Rmf jobs? States with the most job openings for Ai Rmf jobs include:
What job categories do people searching Ai Rmf jobs look for? The top searched job categories for Ai Rmf jobs are:
Ai Rmf jobs near you
Infographic showing various Ai Rmf job openings in the United States as of June 2026, with employment types broken down into 8% Internship, 5% As Needed, 74% Full Time, 10% Temporary, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $96,047 per year, or $46.2 per hour.
Principal AI Software Developer

Principal AI Software Developer

Pyramid Systems, Inc.

Remote

Other

Posted 8 days ago

Job description

Overview
The Senior Principal Software Engineer/Developer will serve as a lead enterprise architect and AI engineering authority, responsible for defining and delivering large-scale, mission-critical AI-enabled systems for HUD and the AIR platform. This role goes beyond hands-on development to include enterprise-wide technical strategy, cross-program architecture leadership, executive-level stakeholder engagement, and AI governance and innovation leadership in federal environments.
Responsibilities
  • Serve as the primary technical authority across multiple programs, defining AI and application architecture strategy at the enterprise level
  • Establish long-term modernization roadmaps for federal systems, aligning AI adoption with mission outcomes and compliance requirements
  • Act as a trusted advisor to senior federal stakeholders (SES-level and above) on AI strategy, system modernization, and technology risk
  • Drive technical decision-making across portfolios, ensuring scalability, interoperability, and long-term sustainability
  • Own end-to-end enterprise architecture across multiple interconnected systems, platforms, and programs
  • Lead design of complex, distributed AI-enabled architectures, including multi-cloud and hybrid environments
  • Define and enforce architecture standards, reference architectures, and reusable frameworks across teams
  • Lead development of advanced AI solutions, including RAG systems at scale, agentic workflows and orchestration frameworks, and AI-driven automation across mission workflows
  • Establish AI engineering best practices and standards across the organization
  • Evaluate and lead adoption of emerging AI technologies, guiding pilots into production-ready capabilities
  • Drive innovation initiatives tied to AIR platform growth and differentiation
  • Oversee multiple concurrent development efforts, ensuring alignment with architecture, security, and delivery goals
  • Provide technical leadership across integrated product teams, including architects, engineers, and DevSecOps specialists
  • Ensure delivery of high-availability, production-grade systems supporting federal missions
  • Serve as a subject matter expert in federal AI policy and governance, including NIST AI RMF, OMB M-24-10, and EO 14110
  • Establish and oversee organization-wide responsible AI frameworks, including model evaluation and validation, bias mitigation strategies, and explainability and auditability
  • Ensure full compliance across programs with FISMA, FedRAMP, NIST 800-53, privacy, accessibility (Section 508), and security mandates
  • Lead large-scale legacy modernization initiatives, including enterprise COBOL-to-Python transformations, migration to cloud-native, and microservices-based architectures
  • Define repeatable modernization frameworks and accelerators
  • Oversee implementation of enterprise-grade DevSecOps pipelines and platform engineering practices
  • Drive adoption of, advanced CI/CD automation, Zero-trust architectures, and secure supply chain practices (SBOM, scanning, policy enforcement)
  • Mentor senior engineers, architects, and technical leads
  • Build and scale high-performing engineering teams
  • Lead technical hiring, workforce planning, and capability development
  • Play a key leadership role in proposals, captures, and recompetes
  • Serve as technical lead in client presentations, demos, and strategy sessions
  • Contribute to thought leadership (whitepapers, architecture frameworks, innovation roadmaps)

Qualifications
Knowledge/Skills/Abilities: Initial:
  • Proven ability to operate as an Enterprise architect, chief engineer, or technical director-level leader
  • Strong executive communication skills with demonstrated success influencing C-suite or federal senior leadership
  • Deep expertise in scaling engineering organizations and delivering across complex programs
  • Ability to balance strategic vision with hands-on technical depth

Qualifications:
  • US Citizenship is required
  • Bachelor's or master's degree in Computer Science, Software Engineering, or a related field
  • 12-15+ years of software engineering experience, including 6-8+ years in AI-enabled systems (LLMs, generative AI, applied ML in production) (enhanced from 8+ years total)
  • Demonstrated experience leading enterprise-scale architecture and multi-team delivery efforts
  • Expert-level proficiency in Python and modern backend frameworks and Full-stack architectures and modern front-end technologies
  • Deep experience in Cloud-native platforms (Azure, AWS, GCP) at scale and Multi-environment deployments in FedRAMP-authorized environments
  • Extensive experience with AI/ML platforms (OpenAI, Bedrock, Vertex AI, etc.) and Advanced AI architectures (RAG, orchestration, agents)
  • Proven track record of leading large modernization programs (COBOL-to-modern stack transformation) and delivering mission-critical federal systems
  • Deep knowledge of NIST AI RMF and federal AI governance frameworks and secure software development in federal environments
  • Strong experience with Microservices, APIs, distributed systems design and DevSecOps and platform engineering leadership
  • Prior experience serving as Lead Architect, Chief Engineer, or Technical Director on federal programs
  • Active clearance (Public Trust, Secret, or higher strongly preferred)
  • Prior HUD or federal civilian agency leadership experience
  • Experience contributing to organizational AI strategy or product platforms (e.g., AIR-like platforms)

Target Pay Range
The below listed pay range for this position is not a guarantee of compensation or salary. The final offered salary will be influenced by a host of factors including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at Pyramid Systems that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits, to include our Employee Stock Ownership Program, FlexPTO, and learning and development opportunities.
Pyramid Min
USD $166,091.00/Yr.
Pyramid Max
USD $210,000.00/Yr.
Why Pyramid?
Pyramid Systems, Inc. is an award-winning, technology leader, driving digital transformation across federal agencies. We empower forward-thinking innovations, accelerate production-ready software, and deliver secure solutions so federal agencies can meet their mission goals. Voted a Top Workplace, both regionally (Washington, DC) and Nationally (USA) the past 2 years (2023 and 2024) based on the feedback from our employees, we are headquartered in Fairfax, VA. and have a growing national footprint. We value and promote our Flexible Workplace approach because of the positive impacts it has on work-life integration. We remain committed to ensuring every employee's voice is heard, performance and results are recognized and rewarded, development and advancement is a focus, and diversity, equity and inclusion is a company priority. We offer competitive compensation and benefits (including a recently launched Employee Stock Ownership Plan - ESOP), a robust performance-based rewards program, and we know how to have fun! Our people and culture have endured and delivered for our clients for nearly three decades.
EEO Statement
Pyramid Systems, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Apply