A & A Cybersecurity Engineer/Architect Lead (AI/Automation)

IMAGINEEER LLC

A & A Cybersecurity Engineer/Architect Lead (AI/Automation)

Arlington, VA
Full Time
Paid
  • Responsibilities

    Benefits:

    401(k)

    Competitive salary

    Dental insurance

    Health insurance

    Paid time off

    Vision insurance

    Job title: A & A Cybersecurity Engineer/Architect Lead (AI/Automation)

    Location / Work type: Remote/Full-Time

    Clearance: Must be able to get a Public Trust

    About the Company:

    Imagineeer is leading the charge in data transformation, impacting sectors from healthcare to government operations, green energy, supply chain, and sports. Leveraging cutting-edge technologies like AI, post-quantum security, and blockchain, we empower decision-makers and fortify data security. We specialize in federal agency modernization; we collaborate closely to transform operational ecosystems, addressing unique challenges with acquisition support and stakeholder communication. Imagine Lab, our digital think tank, explores innovation through employee engagement and machine-generated insights. If you're passionate about reimagining operations and empowering organizations to evolve proactively, join us in shaping the future.

    About this Role:

    We are seeking an innovative Cybersecurity Engineer/Architect Lead (A&A – AI/Automation) to drive the development and implementation of AI-driven and automated security compliance solutions for our federal government clients. This senior-level role blends deep expertise in Assessment & Authorization (A&A), NIST RMF, and FISMA with advanced skills in AI, machine learning, and automation to modernize and transform traditional security compliance processes.

    The successful candidate will lead the design and deployment of cutting-edge solutions that automate security control validation, risk analysis, continuous monitoring, and authorization package generation, helping federal agencies accelerate compliance while enhancing cybersecurity posture.

    Key Responsibilities:

    Lead the design and implementation of AI-driven solutions to automate security control assessments and continuous monitoring processes.

    Develop and deploy automation strategies for compliance documentation (e.g., SSPs, POA&Ms, SARs).

    Architect solutions leveraging machine learning (ML) for predictive risk assessment and threat modeling.

    Build and lead the development of automated security control validation tools and frameworks.

    Design automated workflows for authorization package creation, maintenance, and continuous ATO (cATO).

    Implement automated security testing pipelines integrated with DevSecOps practices.

    Develop predictive analytics dashboards and tools for real-time security posture evaluation.

    Guide the integration of DevSecOps methodologies into A&A and compliance processes.

    Serve as a subject matter expert (SME) and mentor for automation technologies, AI integration, and cybersecurity best practices.

    Collaborate with clients, system owners, and stakeholders to identify automation opportunities and deliver tailored solutions.

    Lead innovative initiatives focused on modernizing security compliance, reducing manual effort, and improving efficiency.

    Develop and track metrics and reporting mechanisms for automated processes and risk indicators.

    Architect secure, scalable solutions aligned with Zero Trust Architecture, federal cloud requirements, and evolving cybersecurity frameworks.

    Qualifications and Skills:

    Master’s degree in Cybersecurity, Computer Science, Information Systems, or a related field

    10+ years of professional experience in cybersecurity

    5+ years of experience supporting RMF, FISMA, and federal security compliance programs

    3+ years of hands-on experience with AI/ML technologies and security process automation

    Active cybersecurity certification: CISSP, Security+, or equivalent

    Ability to obtain and maintain a Public Trust clearance

    Expert-level knowledge of NIST RMF, FISMA, and federal cybersecurity compliance requirements

    Strong hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

    Expertise in automation scripting languages such as Python, PowerShell, Bash

    Advanced knowledge of security control automation, including tools for compliance validation and reporting

    Proficiency with CI/CD pipelines, DevSecOps practices, and infrastructure-as-code (e.g., Terraform, Ansible)

    Deep understanding of cloud security automation in environments like AWS, Azure, or GCP

    Proven experience in designing and implementing security architectures for federal or enterprise environments

    Expertise with security assessment, vulnerability management, and continuous monitoring tools

    Strong leadership, mentorship, and team management capabilities

    Excellent problem-solving and analytical skills, with the ability to design scalable, robust solutions

    Exceptional communication, presentation, and stakeholder engagement skills

    Proficiency in developing technical architecture documentation and diagrams

    Experience working within agile project management frameworks

    Desired Skills and Competencies:

    Ph.D. in Cybersecurity, Computer Science, or a related field

    Cloud certifications (e.g., AWS Certified Security, Azure Security Engineer, Google Cloud Professional Security Engineer)

    Experience with Natural Language Processing (NLP) for document automation

    Knowledge of blockchain technologies for secure recordkeeping

    Expertise in big data analytics platforms (e.g., Splunk, ELK Stack, Hadoop)

    Experience with security orchestration, automation, and response (SOAR) platforms

    Deep familiarity with Zero Trust Architecture (ZTA) principles and implementation

    Background in cybersecurity research or development of novel security solutions

    Experience supporting federal cloud initiatives, including FedRAMP and Continuous ATO

    Published research, white papers, or patents related to cybersecurity or automation

    Knowledge of quantum computing concepts and their security implications

    Hands-on experience with the Cybersecurity Maturity Model Certification (CMMC) 2.0 framework

    Familiarity with advanced security compliance automation tools (e.g., Xacta, eMASS automation, Drata, or similar)

    Proficiency in deep learning models, ML pipelines, and deployment strategies

    Additional Information:

    This is a remote position, with required participation in virtual collaboration, meetings, and secure development environments.

    Must be a U.S. Citizen capable of obtaining a Public Trust clearance.

    This is a remote position.