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

ZipRecruiter, Arlington, Texas, United States, 76000

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Job DescriptionJob Description 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 , 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

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 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.

capable of obtaining a

Public Trust clearance .