US Citizen with Active Top Secret security clearance
Bachelor's degree or 14 years of relevant experience
Current DoD 8570/8140 IAM Level II or III certification
3-5+ years in security control assessments for DoD or federal systems
Strong understanding of AWS cloud services and security controls
Knowledge of NIST SP 800-53 and RMF processes
Experience writing core RMF artifacts like SSPs and SARs
Exceptional communication skills for technical risk articulation
Responsibilities
Execute formal Security Control Assessor/Representative duties
Lead security assessment efforts and create reusable security playbooks
Evaluate technical control effectiveness across AWS and DevSecOps environments
Collaborate with cybersecurity engineering teams to integrate security early
Review and maintain assessment packages tailored for rapid prototyping
Assess technical security risks specific to AI/LLM implementations
Support continuous monitoring and technical risk evaluations
Coordinate with stakeholders to deliver risk briefings and ATO recommendations
Benefits
Opportunity to work on cutting-edge AI technologies
Engagement in high-priority DoD projects
Collaborative environment with cybersecurity and engineering teams
Focus on innovative security practices in cloud and DevSecOps
Potential for professional growth in a fast-paced setting
Full Job Description
Job Description
SAIC is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.
This position will be based out of Arlington, VA. Additional responsibilities include:
Key Responsibilities
Execute formal SCA/R duties.
Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows.
Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks.
Partner directly with cybersecurity engineering and DevSecOps prototyping teams to integrate security controls early in the development lifecycle.
Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems.
Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies.
Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments.
Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations.
Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects.
Qualifications
Required Qualifications
US Citizen and Active Top Secret security clearance
Bachelor's and Fourteen (14) or relevant years of experience in lieu of degree
Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC)
3-5+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems
Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments.
Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines.
Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams.
Hands-on experience navigating government GRC repositories, such as eMASS or XACTA.
Desired Qualifications
Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines.
Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures).
Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models).
Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector).
Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex).
Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety.
Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker).
Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect).
Background or familiarity with offensive security, penetration testing
About SAIC
Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
