1

Manager Cmmc Jobs in Raleigh, NC (NOW HIRING)

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

... management. * Implement infrastructure automation using scripting, Infrastructure as Code, and ... Familiarity with security frameworks and compliance standards such as NIST and CMMC. * Familiarity ...

... management * Maintain system documentation in accordance with ITAR, NIST, CMMC, or other applicable compliance frameworks * Deploy and support systems within classified or controlled-access ...

... management * Maintain system documentation in accordance with ITAR, NIST, CMMC, or other applicable compliance frameworks * Deploy and support systems within classified or controlled-access ...

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Understanding of data quality management practices, including validation, normalization ... Experience working in regulated environments with standards such as NIST or CMMC. * Experience ...

... risk management, information security, and IT jobs, with at least 10 years in a senior leadership role. * Experience with NIST (800-171) and ISO (27001) frameworks * Experience with CMMC ...

... Management platform • Knowledge of FAR, DFARS, CMMC • Experience with GRC platforms and risk management methodologies • Ability to work independently and collaboratively as required • ...

... risk management, information security, and IT jobs, with at least 10 years in a senior leadership role.Experience with NIST (800-171) and ISO (27001) frameworksExperience with CMMC (Cybersecurity ...

... CMMC Experience with GRC platforms and risk management methodologies Ability to work independently and collaboratively as required Competencies Attention to detail and critical thinking Ethical ...

Design and support identity and access management solutions utilizing modern authentication and ... Support compliance initiatives including CMMC, NIST 800-17, ITAR/EAR, SOC and other applicable ...

Senior AI Technologist

Raleigh, NC · On-site

$48.75 - $63/hr

Understanding of data quality management practices, including validation, normalization ... Experience working in regulated environments with standards such as NIST or CMMC. * Experience ...

Showing results 21-38

Manager Cmmc information

What is the difference between Manager Cmmc vs Security Analyst?

AspectManager CmmcSecurity Analyst
CertificationsCMMC certifications, cybersecurity credentialsCompTIA Security+, CISSP, CEH
Work EnvironmentManagement, compliance oversight, policy developmentSecurity monitoring, incident response, vulnerability assessment
Industry UsageDefense, government contractors, regulated industriesIT departments, cybersecurity firms, corporate security teams
Search IntentUnderstanding managerial roles in CMMC complianceTechnical security roles and responsibilities

The Manager CMMC focuses on overseeing compliance programs, managing teams, and ensuring organizational adherence to CMMC standards. In contrast, a Security Analyst handles technical security tasks like monitoring networks, analyzing threats, and responding to incidents. Both roles are essential in cybersecurity but differ in scope, responsibilities, and required credentials.

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

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

Infographic showing various Manager Cmmc job openings in Raleigh, NC as of September 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

Senior AI Systems Engineer

Raleigh, NC • On-site

$92K - $126K/yr

Full-time

Re-posted 13 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.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.