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Cmmc Remote Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Familiarity with security frameworks and compliance standards such as NIST and CMMC. * Familiarity ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Experience working in regulated environments with standards such as NIST or CMMC. * Experience ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

All JobsCmmc JobsCmmc Remote JobsCmmc Remote Jobs in Raleigh, NC

Cmmc Remote information

What is a CMMC Remote?

A CMMC Remote job refers to a position in which professionals work remotely to help organizations achieve and maintain compliance with the Cybersecurity Maturity Model Certification (CMMC) standards. These jobs typically involve assessing cybersecurity practices, preparing documentation, conducting virtual assessments, and advising on compliance strategies for contractors in the defense supply chain. Remote CMMC roles can include consultants, assessors, project managers, or compliance specialists, and enable organizations to access expertise regardless of geographic location. The work is essential for companies aiming to meet Department of Defense (DoD) cybersecurity requirements.

What are the key skills and qualifications needed to thrive as a CMMC Remote assessor?

To thrive as a CMMC Remote Assessor, you need a strong understanding of cybersecurity frameworks, auditing principles, and the CMMC (Cybersecurity Maturity Model Certification) requirements, often supported by relevant certifications such as CMMC-AB Certified Assessor or similar credentials. Familiarity with compliance management tools, secure file-sharing platforms, and remote assessment technologies is essential. Excellent communication, attention to detail, and analytical thinking are critical soft skills for interpreting complex security controls and collaborating with client organizations. These skills ensure accurate, thorough remote assessments and help organizations achieve and maintain required cybersecurity standards.

What are the most common challenges faced by professionals working in a remote CMMC compliance role?

Professionals in remote CMMC compliance roles often encounter challenges related to communication and collaboration, especially when coordinating with multiple departments to ensure cybersecurity standards are met. Remote work can make it more difficult to access sensitive systems securely and to conduct in-person assessments or interviews with stakeholders. Staying updated on evolving CMMC requirements and maintaining clear documentation can also be challenging without direct office resources. Successful candidates typically leverage secure collaboration tools, proactive communication, and well-structured workflows to overcome these obstacles.

What is the difference between Cmmc Remote vs Cmmc Onsite?

AspectCmmc RemoteCmmc Onsite
Work EnvironmentRemote, from any locationOn-site, at designated facilities
CertificationsSame CMMC certifications requiredSame CMMC certifications required
Employer & Industry UsageUsed by organizations with remote teams in cybersecurity and complianceUsed by organizations requiring on-site security assessments
Work TasksRemote compliance assessments, documentation, and auditsOn-site security evaluations and physical assessments

The main difference between Cmmc Remote and Cmmc Onsite lies in the work environment. Cmmc Remote professionals perform compliance tasks from any location, offering flexibility, while Cmmc Onsite roles require physical presence for assessments. Both roles demand the same certifications and serve similar industry needs, but the work setting varies based on client requirements and job specifics.

What are the most commonly searched types of Cmmc jobs in Raleigh, NC?

The most popular types of Cmmc jobs in Raleigh, NC are:

What are popular job titles related to Cmmc Remote jobs in Raleigh, NC?

For Cmmc Remote jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Cmmc Remote jobs in Raleigh, NC look for?

The top searched job categories for Cmmc Remote jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Cmmc Remote jobs?

Cities near Raleigh, NC with the most Cmmc Remote job openings:

Cmmc Remote jobs near you
Infographic showing various Cmmc Remote job openings in Raleigh, NC as of August 2026, with employment types broken down into 2% As Needed, 89% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Re-posted 2 days ago

Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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