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Cybersecurity Architect – Level 4

  • Remote, United States

Salary Range: $165,000 - $190,000

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Job details

Pay
Salary Range: $165,000 - $190,000
Experience
10+ years of relevant experience in cybersecurity architecture, enterprise security engineering, cloud architecture, or related technical disciplines.
Posting language
English

Original job description

Everforth ECS is seeking a highly experienced Cybersecurity Architect – Level 4 to join an enterprise-scale cybersecurity program supporting a major federal civilian agency. This position supports remote work, with preference given to candidates residing in or near the National Capital Region (NCR).

In this role, you will serve as a senior cybersecurity architecture authority, leading the development and modernization of secure enterprise, cloud, and AI-enabled technology environments. You will provide strategic technical leadership in Zero Trust Architecture, cloud security, enterprise integration, and the secure adoption of Artificial Intelligence (AI) and emerging technologies. Working alongside senior cybersecurity leadership, enterprise architects, engineering teams, and government stakeholders, you will establish architectural standards, guide complex technology decisions, and develop security strategies that strengthen enterprise resilience, reduce cybersecurity risk, and support the secure modernization of mission-critical federal systems and services.

Please Note: This position is contingent upon contract award.

Salary Range: $165,000 - $190,000

Position Responsibilities

  • Lead the development and implementation of enterprise cybersecurity architecture strategies, standards, and reference architectures that align security capabilities with mission objectives, federal requirements, and technology modernization priorities.
  • Provide senior technical leadership for secure cloud and hybrid architectures, including multi-cloud environments, cloud-native applications, enterprise identity services, network security, and data protection capabilities.
  • Establish architectural security requirements and design principles for AI-enabled systems, generative AI applications, machine learning platforms, and emerging autonomous technologies.
  • Lead assessments of AI security risks, including prompt injection, sensitive data exposure, model manipulation, insecure integrations, supply chain vulnerabilities, and unauthorized AI system behavior.
  • Develop secure architecture patterns for AI/ML environments, including model hosting, data pipelines, retrieval-augmented generation, API integrations, access controls, and monitoring capabilities.
  • Define and advance enterprise Zero Trust Architecture strategies across identity, devices, networks, applications, workloads, and data, ensuring integration with cloud and enterprise security capabilities.
  • Lead complex security architecture reviews, threat modeling activities, and technical risk assessments to evaluate proposed technologies, modernization initiatives, and enterprise system integrations.
  • Establish security architecture governance processes, technical standards, design review procedures, and architectural decision frameworks to promote consistency and risk-based technology adoption.
  • Guide the integration of cybersecurity architecture with enterprise cloud strategies, DevSecOps practices, infrastructure automation, continuous monitoring, and ongoing authorization requirements.
  • Evaluate emerging cybersecurity, cloud, and AI technologies, advising leadership on security risks, architectural tradeoffs, integration challenges, and opportunities for innovation.
  • Collaborate with senior government stakeholders, enterprise architects, and cybersecurity leadership to develop modernization roadmaps, prioritize security investments, and address complex architectural risks.
  • Serve as a senior technical advisor and escalation point, mentoring architects and engineers while promoting security architecture best practices and continuous improvement across the cybersecurity program.
  • U.S. Citizenship required.
  • Remote position, with preference for candidates residing within close proximity to the National Capital Region (NCR).
  • Active Public Trust 6C determination, or the ability to obtain and maintain the required determination.
  • Bachelor Degree and 10 years of experience, Master's Degree and 8+ years of experience or a Phd and 5+ years of experience in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field (or equivalent professional experience).
  • 10+ years of relevant experience in cybersecurity architecture, enterprise security engineering, cloud architecture, or related technical disciplines.
  • Demonstrated experience leading enterprise-scale cybersecurity architecture initiatives, establishing technical standards, and providing architectural direction across complex technology environments.
  • Expert knowledge of cloud and hybrid security architectures, including Microsoft Azure, AWS, cloud-native technologies, enterprise identity, network security, and data protection.
  • Strong understanding of AI/ML technologies, generative AI architectures, large language models, and security risks associated with enterprise AI adoption.
  • Demonstrated experience designing or evaluating security architecture for complex applications, cloud services, emerging technologies, and enterprise system integrations.
  • Advanced knowledge of Zero Trust Architecture, secure enterprise design, threat modeling, security engineering principles, and modern cybersecurity technologies.
  • Extensive knowledge of federal cybersecurity requirements and frameworks, including NIST SP 800-53, NIST SP 800-37, FedRAMP, FISMA, and relevant NIST AI security and risk management guidance.
  • Strong technical leadership, strategic planning, analytical, and communication skills, with experience advising senior leadership and guiding multidisciplinary architecture and engineering teams.
More about this job

Skills

  • Cybersecurity
  • Leadership
  • Data protection
  • Security threats
  • Supply chain management
  • ML
  • Coaching
  • Process improvement
  • Computer science
  • Computer technology
  • Microsoft Azure
  • AWS
  • Engineering principles
  • Risk management
  • Strategic planning
  • Communication skills

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