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Remote Dod Security Contractor Jobs in Raleigh, NC

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

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 ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Partner with AI, software, platform, and security teams to ensure data workflows are scalable ... DoD experience. * Active Secret clearance preferred, or ability to obtain and maintain a Secret ...

Tetra Tech

Senior Civil Engineer

Durham, NC · On-site +1

This position is remote and/or hybrid-friendly and can be performed from a wide range of locations ... At least 1 year of prior experience in consulting and/or DoD/contracting. Preferred Qualifications

COMPASS Pathways

HEOR Science Liaison

Raleigh, NC · On-site +1

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... Minimum 3-5 years of experience in managed care, PBM, CMS/Medicare/Medicaid/VA/DoD, health care ...

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All JobsDod Security Contractor JobsRemote Dod Security Contractor JobsRemote Dod Security Contractor Jobs in Raleigh, NC

Remote Dod Security Contractor information

See Raleigh, NC salary details

$27.2K

$65.8K

$157.5K

How much do remote dod security contractor jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote dod security contractor in Raleigh, NC is $65,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $79,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Dod Security Contractor vs Remote Cybersecurity Analyst?

AspectRemote Dod Security ContractorRemote Cybersecurity Analyst
CredentialsSecurity+ or CISSP, DoD-specific certificationsCompTIA Security+, CISSP, or CEH
Work EnvironmentPrimarily government or defense contractor settings, often remoteCorporate or government sectors, often remote or hybrid
Employer & IndustryDefense agencies, contractors, governmentPrivate companies, government agencies, cybersecurity firms
Search & Comparison IntentUnderstanding defense-specific security rolesGeneral cybersecurity roles with a focus on analysis

The Remote Dod Security Contractor focuses on defense-specific security tasks, often requiring DoD certifications and working within government or defense contractor environments. In contrast, a Remote Cybersecurity Analyst has a broader scope, analyzing security threats across various industries, with similar certifications but different work settings. Both roles require security credentials and involve remote work, but their primary focus and employer types differ.

What are the most commonly searched types of Dod Security Contractor jobs in Raleigh, NC?

The most popular types of Dod Security Contractor jobs in Raleigh, NC are:

What are popular job titles related to Remote Dod Security Contractor jobs in Raleigh, NC?

For Remote Dod Security Contractor jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Remote Dod Security Contractor jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Dod Security Contractor jobs?

Cities near Raleigh, NC with the most Remote Dod Security Contractor job openings:

Remote Dod Security Contractor jobs near you

Senior AI Systems Engineer

Raleigh, NC • On-site, Remote

Berriehill Research
See more jobs at Berriehill Researchexternal

$92K - $126K/yr

Full-time

Re-posted 9 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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