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Ai Rmf Jobs in Philadelphia, PA (NOW HIRING)

Luxoft

AI Governance & Controls Lead

Wilmington, DE · On-site

$140 - $190/hr

Experience with AI/ML governance frameworks (NIST AI RMF, model risk management guidance, SR 11-7/SR 26-2 lineage). * Familiarity with Azure services relevant to AI workloads (API Management, Entra ...

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Ai Rmf information

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$34.8K

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How much do ai rmf jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai rmf in Philadelphia, PA is $96,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $116,500.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Ai Rmf jobs in Philadelphia, PA?

For Ai Rmf jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Ai Rmf jobs in Philadelphia, PA look for?

The top searched job categories for Ai Rmf jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Ai Rmf jobs?

Cities near Philadelphia, PA with the most Ai Rmf job openings:

Ai Rmf jobs near you

Senior Applied AI Engineer - Developer Productivity & SDLC

Keysight Technologies, Inc.

Harrisonville, NJ

$121K - $160K/yr

Full-time

Re-posted 14 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

50th of 159 rated electronics manufacturers

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

About the Team

Software and AI Labs (SAL) drives innovation across Keysight’s global software engineering organization. The team focuses on accelerating developer productivity, modernizing engineering workflows, and ensuring secure, compliant adoption of emerging AI technologies.

You will join a cross-functional group working closely with Engineering, DevSecOps, IT, and Architecture teams worldwide. The culture is experimental, impact-driven, and focused on safe, scalable AI enablement across enterprise software development.

About the Role

This role sits at the intersection of AI, software engineering, and enterprise transformation.

As a Senior Applied AI Engineer, you will design and implement AI-driven solutions that modernize and accelerate Keysight’s Secure Software Development Lifecycle (SDLC). You will evaluate emerging AI technologies (LLMs, RAG, agentic systems), translate governance into practical engineering standards, and build reference architectures that can scale across global engineering teams.

Your impact will directly influence developer productivity, engineering quality, and responsible AI adoption across the enterprise.


Responsibilities

AI-Led Productivity & SDLC Acceleration

  • Lead technical evaluations and enterprise rollouts of AI tools and platforms.

  • Design reusable solution patterns (prompt libraries, RAG architectures, agent workflows) to improve coding, testing, documentation, and planning.

  • Develop reference implementations (“golden paths”) integrating AI into DevSecOps toolchains.

  • Evaluate emerging AI paradigms (e.g., MCP, agentic frameworks) and guide safe adoption.

Architecture & Integration

  • Architect end-to-end AI solutions spanning cloud, on-prem, and hybrid environments.

  • Optimize AI integrations for performance, cost efficiency, and developer experience.

  • Collaborate with engineering and DevSecOps teams to embed AI into CI/CD, testing, and release processes.

Governance, Risk & Compliance

  • Translate corporate AI governance into practical engineering guardrails.

  • Align AI practices with ISO/IEC 42001, NIST AI RMF, SOC2, and OWASP API Security principles.

  • Implement secure data handling, model access control, and vendor usage standards.

Stakeholder & Program Leadership

  • Engage engineering leaders and IT stakeholders to drive adoption programs.

  • Manage vendor evaluations, pilots, and compliance alignment.

  • Provide executive-level updates on AI adoption impact, productivity gains, and risks.


Qualifications

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

  • 5–10+ years of experience in software engineering.

  • Hands-on experience applying modern AI technologies (LLMs, RAG, agent frameworks) to real-world engineering workflows.

  • Experience integrating AI into DevSecOps environments and CI/CD toolchains.

  • Working knowledge of secure software development practices and practical security controls.

  • Strong communication skills with experience influencing cross-functional teams.

Desired Qualifications

  • Experience defining enterprise engineering KPIs and productivity metrics.

  • Exposure to ISO/IEC 42001, NIST AI RMF, SOC2, or similar compliance frameworks.

  • Experience with MLOps pipelines and data engineering for AI (ETL, embeddings, vector databases).

  • Prior experience driving enterprise AI enablement programs.

  • Experience working in large, global engineering organizations.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Qualifications:

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

  • 5–10+ years of experience in software engineering.

  • Hands-on experience applying modern AI technologies (LLMs, RAG, agent frameworks) to real-world engineering workflows.

  • Experience integrating AI into DevSecOps environments and CI/CD toolchains.

  • Working knowledge of secure software development practices and practical security controls.

  • Strong communication skills with experience influencing cross-functional teams.

Desired Qualifications

  • Experience defining enterprise engineering KPIs and productivity metrics.

  • Exposure to ISO/IEC 42001, NIST AI RMF, SOC2, or similar compliance frameworks.

  • Experience with MLOps pipelines and data engineering for AI (ETL, embeddings, vector databases).

  • Prior experience driving enterprise AI enablement programs.

  • Experience working in large, global engineering organizations.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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