A & A Cybersecurity Engineer/Architect Lead (AI/Automation)
Full Time • Fully Remote - US
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.
Compensation: $120,000.00 - $135,000.00 per year
About Us
Our Approach
We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence.
We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments.
Our Mission
Imagineeer's mission is to empower transformation through the operationalization of intuition. We establish an innovation pipeline, reimagining operations by delving into data analysis to optimize outcomes for our valued customers.
Collaborating closely with our clients, we strive to actualize the inherent genius embedded within their organizational structure. Our efforts focus on the transformation of organizations, emphasizing the development of foundational strengths in key areas, including data, personnel, hypothesis development, and the cultivation of a learning-from-failure mindset.
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