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Ai Rmf Jobs in Allen, TX (NOW HIRING)

Sec Ops Architect I

Dallas, TX · On-site

$170 - $233/hr

AI Governance & Compliance Align AI security controls to ISO 42001, NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for LLM Applications. Maintain audit trails for every model decision. Support EU AI Act ...

Senior Security Engineer

Dallas, TX · On-site

$113K - $155K/yr

... AI RMF or similar industry AI risk management frameworks) and OWASP Top 10 for LLMs Practical experience with, or strong working knowledge of, threat modeling methodologies for AI/ML systems ...

Senior Security Engineer

Dallas, TX

$113K - $155K/yr

... AI RMF or similar industry AI risk management frameworks) and OWASP Top 10 for LLMs Practical experience with, or strong working knowledge of, threat modeling methodologies for AI/ML systems ...

Sec Ops Architect I

Dallas, TX · On-site

$64.25 - $83/hr

Align AI security controls to ISO 42001, NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for LLM Applications. Maintain audit trails for every model decision. Support EU AI Act and DPDPA compliance ...

Sec Ops Architect I

Dallas, TX · On-site

$64.25 - $83/hr

Align AI security controls to ISO 42001, NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for LLM Applications. Maintain audit trails for every model decision. Support EU AI Act and DPDPA compliance ...

Contribute to policy, standards, and governance for agentic AI and automation, aligning controls with frameworks such as NIST AI RMF, OWASP LLM Top 10, and MITRE ATLAS. * Develop reporting exhibiting ...

Own AI-related policy documentation and track emerging regulatory requirements including the EU AI Act and NIST AI RMF. Risk Management & Vendor Risk * Build and maintain a risk register with risk-to ...

Showing results 41-60

Ai Rmf information

See Allen, TX salary details

$32.1K

$89.3K

$152.5K

How much do ai rmf jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai rmf in Allen, TX is $89,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $107,400.00 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 Allen, TX?

For Ai Rmf jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Ai Rmf jobs in Allen, TX look for?

The top searched job categories for Ai Rmf jobs in Allen, TX are:

What cities near Allen, TX are hiring for Ai Rmf jobs?

Cities near Allen, TX with the most Ai Rmf job openings:

Infographic showing various Ai Rmf job openings in Allen, TX as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution, with an average salary of $89,341 per year, or $43 per hour.

AI Platform Architect, Strategy and Enablement

Lindsay & Brownell

Dallas, TX • On-site

Full-time

Re-posted 6 days ago


Job description

Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals.

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement who will serve as the technical backbone of EisnerAmper's AI transformation, owning the performance, reliability, and cost-efficiency of the EisnerAI Platform. This role will own and execute AI Platform strategy, defining the multi-year roadmap, cross-service-line capability, and coherence that position the platform as a strategic asset, scaling to 1,000 deployed AI agents across every solution, from intelligent tax preparation to agentic audit workflows. The role will build model lifecycle, evaluation, and multi-vendor orchestration as usage expands across every team.

Reporting to the Chief AI Officer, this is a high-impact, high-visibility role at the intersection of platform architecture, AI engineering, and strategic operations. The critical dimensions of this position are internal - elevating platform fluency and technical depth across teams and external - cultivating strategic partnerships across the hyperscaler and AI vendor ecosystem to extend platform capability into wide ecosystem integration opportunities.

What it Means to Work for EisnerAmper:
  • You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

  • You will have the flexibility to manage your days in support of our commitment to work/life balance

  • You will join a culture that has received multiple top "Places to Work" awards

    • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions

    • We understand that embracing our differences is what unites us as a team and strengthens our foundation

    • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For:Own and Execute AI Platform Strategy
  • Own the multi-year platform roadmap - architecture, model lifecycle, and governance-as-code - scaling the EisnerAI Platform on Azure toward 1,000+ deployed agents while ensuring Tax, Audit, Advisory, and Outsourcing build on one coherent foundation.

  • Define and enforce model lifecycle standards (active, legacy, deprecated, retired) and evaluation benchmarks across the firm's multi-LLM environment, turning vendor and model choices - GPT-4o, o3, and what comes next, into a deliberate portfolio strategy rather than ad hoc adoption.

  • Own the connection between the EisnerAI Platform and the firm's broader technology ecosystem (ETI), establishing this bridge proactively rather than retrofitting it once scale makes it expensive.

  • Ensure the platform roadmap and standards account for both B2B and B2C dimensions of the firm's AI use - firmwide client service delivery as well as direct-to-client and wealth management contexts.

Lead Platform Strategy and Architecture
  • Architect and evolve the platform's core data, application, and agentic layers on Azure AI Foundry, establishing the reference architecture and technical standards that govern how every solution from intelligent tax preparation to agentic audit workflows gets built.

  • Codify AI and data governance (NIST AI RMF, PCAOB, Section 7216, and emerging requirements including the EU AI Act) into enforceable platform-level controls and automated compliance checks, in partnership with the firm's existing AI governance function.

  • Lead AI performance engineering across the firm's LLM ecosystem, benchmarking models for accuracy, latency, cost, and quality, and directing routing and optimization strategy to continuously lower cost-per-agent without sacrificing output quality.

Build and Operate Cross-Cutting Capability Enablement
  • Build and operate the platform's real-time performance monitoring layer, hallucination rates, retrieval precision, adoption, and cost-per-interaction, as a shared capability every service line draws on rather than one each team rebuilds independently.

  • Own identity, access, and security controls for AI systems and agents firmwide, establishing the guardrails that let Tax, Audit, Advisory, and Outsourcing scale their own use cases safely on shared infrastructure.

  • Deliver executive and board-level dashboards translating platform performance, adoption, and cost into business value narratives, and mentor technical and business teams across IT, AI Advisory, and service lines to build platform fluency firmwide.

Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field

  • 10+ years of experience in technology strategy, enterprise architecture, or platform/product leadership including experience as a Chief Architect or Enterprise Solutions Architect with a demonstrated record of scaling platforms across multiple business units

  • 5+ years architecting enterprise-scale solutions on Microsoft Azure including AI Foundry, Azure OpenAI, Cosmos DB, ADLS, Purview, and AI Search with direct accountability for platform reliability and cost at production scale

  • 3+ years leading LLM benchmarking, evaluation, and optimization programs in production environments, with a track record of translating model performance data into platform-wide selection and routing strategy

Preferred or Desired Qualifications
  • Master's degree preferred (Computer Science, AI/ML, Cloud Architecture, or MBA with technical focus)

  • Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent certifications strongly preferred

  • Data Platforms: ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse/Databricks for analytics and data engineering

  • AI Search & RAG: Vector search, semantic ranking, knowledge mining, and retrieval pipeline optimization

  • Governance & Compliance Tooling: Microsoft Purview, Azure Policy, data lineage, and audit logging frameworks

  • Monitoring & Observability: Azure Monitor, Application Insights, Log Analytics, custom dashboards (Power BI, Grafana)

  • Programming Languages: Python, C#, TypeScript, SQL, Bicep/Terraform

  • DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes, CI/CD pipeline design

  • Cost Management: Azure Cost Management, FinOps practices, token-level cost tracking and optimization

  • Proven track record of designing and implementing data governance frameworks and compliance controls at enterprise scale

  • Experience managing cloud cost optimization initiatives with demonstrated savings outcomes

  • Demonstrated experience mentoring technical and non-technical teams across organizational boundaries, and experience owning vendor or model portfolio strategy in a multi-LLM environment

  • Experience establishing or scaling a platform roadmap and adoption model from an engineering-first starting point

  • Track record of leading through ambiguous, rapidly evolving technology landscapes

  • Strong stakeholder management across engineering, governance, and business-line functions

  • Demonstrated experience translating governance, risk, or compliance requirements into platform-level controls or operational practice

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future.

EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law.

About EisnerAmper:

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients.

Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com

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Preferred Location:
Philadelphia