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Ai Rmf Jobs in Indiana (NOW HIRING)

Microsoft Entra ID app registrations and Graph API in GCC High Secure software development in regulated/mission-critical environments; familiarity with the NIST AI Risk Management Framework (AI RMF ...

Ai Rmf information

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.
What are popular job titles related to Ai Rmf jobs in Indiana? For Ai Rmf jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Ai Rmf jobs? Cities in Indiana with the most Ai Rmf job openings:
Cybersecurity AI Governance Principal

Cybersecurity AI Governance Principal

Cummins

Indianapolis, IN • On-site

Full-time

Posted 22 days ago


Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 246 frontline employees who took The Breakroom Quiz

110th of 519 rated manufacturers


Job description

We are looking for a talented Cybersecurity Advisor Principal to join our team specializing in Systems/Information Technology for our Corporate organization in Indianapolis, IN

In this role, you will make an impact in the following ways:

  • Strengthen the organization's security posture and compliance by consistently applying cybersecurity frameworks, regulatory requirements, and industry standards to reduce enterprise risk and ensure audit readiness.
  • Proactively identify and remediate systemic security risks by analyzing vulnerability and configuration data and driving targeted solutions that address root causes, not just symptoms.
  • Reduce exposure to cyber threats by implementing effective security controls, mitigation strategies, and recommended system changes that protect critical systems and data.
  • Embed security into technology solutions from the start by partnering with crossfunctional stakeholders to influence secure design, architecture, and implementation decisions.
  • Safeguard business objectives by conducting security reviews that uncover weaknesses early and prevent solutions from introducing risks that could impact enterprise performance.
  • Enable informed leadership decisionmaking by translating emerging and existing cybersecurity threats into clear, actionable riskbased recommendations aligned to business goals.
  • Ensure confidentiality, integrity, and availability of systems and data by governing and enforcing robust security controls grounded in secure engineering, coding, and architecture best practices.
  • Build longterm capability and trust by coaching less experienced team members, sharing cybersecurity expertise, and cultivating strong business relationships that consistently deliver value.
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

AI Cybersecurity Governance Principal

Unique Responsibilities

  • Define and maintain the AI security and governance vision, roadmap, and operating model for enterprise AI/ML initiatives.
  • Partner with engineering and data science teams to embed security and governance expectations into AI pipelines, MLOps/LLMOps platforms, APIs, and agent frameworks.
  • Establish security standards, policies, and governance controls for AI systems, including LLMs and agentic AI architectures, aligned with industry frameworks such as NIST AI RMF and ISO/IEC 27001.
  • Define governance requirements for model access, authentication, authorization, and isolation, working with engineering and platform teams to ensure appropriate technical implementation.
  • Establish governance guidance for sandboxing, guardrails, and execution boundaries for autonomous AI agents, ensuring least-privilege principles and appropriate oversight capabilities.
  • Lead risk management activities for AI/ML systems, addressing threats such as model poisoning, prompt injection, adversarial attacks, and agent hijacking.
  • Define secure and responsible AI lifecycle practices for model training, tuning, deployment, and monitoring in coordination with engineering and platform teams.
  • Advise executive leadership on AI-related risks, emerging threats, and mitigation strategies.
  • Ensure alignment with regulatory requirements and responsible AI governance frameworks (e.g., GDPR, EU AI Act, and emerging global AI regulations).
  • Collaborate with security architecture, engineering, and research teams to anticipate emerging AI threat vectors and inform future governance and control strategies.
  • Support vendor evaluation and risk assessment for AI technologies and security solutions, including participation in proof-of-concepts and security reviews.
  • Define governance models for AI system accountability, traceability, and appropriate levels of autonomy in AI-driven actions.
  • Partner with Enterprise Security Ops, as well as other incident management functions in the enterprise, to ensure AI-related threats and anomalous agent behaviors are incorporated into enterprise detection and response processes.
  • Act as the primary security and governance advisor for AI initiatives, translating complex technical risks into business impact for enterprise stakeholders.

Competencies

  • Ability to influence senior leaders and cross-functional teams.
  • Strong written and verbal communication skills.
  • Experience balancing innovation speed with security and risk management.
  • Strategic thinking with practical technical understanding of AI/ML security concepts.
  • Stakeholder management across Business Units, as well as Engineering, Data Science, Product, Legal, Compliance, and Enterprise Security.
  • Proactive and adaptive leadership in rapidly evolving threat and regulatory landscapes.

To be successful in this role you will need the following:

  • Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.
  • Builds effective teams - Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals.
  • Business insight - Applying knowledge of business and the marketplace to advance the organization's goals.
  • Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
  • Drives engagement - Creating a climate where people are motivated to do their best to help the organization achieve its objectives.
  • Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity.
  • Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
  • Business Analysis Planning - Identifies the activities needed to conduct business analysis considering the five business aspects, level of detail, and approach for eliciting requirements to plan for resources and techniques to document the business needs and solution characteristics.
  • Cybersecurity Risk Management - Identifies and assesses the potential impact of Cybersecurity risks against established Cybersecurity industry frameworks, regulations and organizational policies to develop and implement risk mitigation strategies in alignment with business objectives.
  • Strategic Planning and Policy - Advocates for changes in policy through collaboration and the identification of gaps identified by the use of cybersecurity technologies that protect Cummins' data and business information systems.
  • Systems Analysis - Designs information systems solutions using solution design documents and the security review tool to help the organization operate more securely, efficiently and effectively.
  • Systems Security Requirements Planning - Consults with customers through attending cross-functional meetings to gather and evaluate security requirements and translates these security requirements for incorporation into a technical solution(s); provides guidance to partners on how to best apply security requirements as part of the Cummins governance processes through consultation to reduce business risk.
  • Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

Education, Licenses, Certifications:

  • College, university, or equivalent degree in Computer Science, or Information Technology, or related subject, or relevant equivalent experience required.
  • Certified Information Systems Security Professional (CISSP) or similar certification preferred.
  • This position may require licensing for compliance with export controls or sanctions regulations.

Experience:

  • 5-7 years of cybersecurity work experience is required.
  • 2 years of experience with Cloud technology and concepts preferred.

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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919