AI Security Engineer – US Citizens/Green Cards

Swingtech

. Design, assess, document, and improve cybersecurity, privacy, and AI-specific security controls for DOL AI systems .

Posted 9/24/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cybersecurity engineering, particularly in AI security architecture, threat modeling, and vulnerability management. Proficient in implementing security controls across cloud applications and ensuring compliance with Federal cybersecurity frameworks.

Highest-signal resume keywords

Cybersecurity EngineeringAI Security ArchitectureFISMA ComplianceVulnerability ManagementIncident Response

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud SecurityApplication SecurityDevSecOpsSecurity TestingSecurity DocumentationAI/ML Security ThreatsControl MatricesSecurity RequirementsZero TrustSecure Software Development

Soft Skills

Strong Communication SkillsCoordination with Stakeholders

Tools & Technologies

SIEM/SOARCSPMSecrets ManagementSAST/DASTCI/CD PipelinesAPIsContainer SecuritySBOM Generation

Certifications & Qualifications

CISSPCCSPCISMSecurity+AWS Security SpecialtyAzure Security EngineerGIACCEH

Industry Keywords

FIPS-Validated EncryptionNIST SP 800-53NIST SP 800-171FedRAMPRMF/ATOAI Incident Response PlanSupply-Chain SecurityThird-Party Risk Management

Tech Stack

Tools & technologies

AWSAzureCloudCyber Security

About the role

Key responsibilities & impact

Design, assess, document, and improve cybersecurity, privacy, and AI-specific security controls for DOL AI systems
Develop and implement AI security architecture, threat models, control matrices, security requirements, abuse cases, test plans, and remediation plans
Implement and validate security controls across AI applications, LLM integrations, data pipelines, model endpoints, RAG systems, vector stores, MCP servers, APIs, orchestration services, and CI/CD pipelines
Conduct AI-specific security testing, including prompt injection, jailbreaks, malicious-input attacks, retrieval manipulation, data poisoning, model extraction, model inversion, credential compromise, access-control bypass, insecure output handling, and tool-abuse scenarios
Apply Zero Trust, least privilege, role-based access, FIPS-validated encryption, secrets management, audit logging, secure configuration, vulnerability management, and secure software-development practices
Support FISMA, RMF, and ATO activities, including security categorization, system boundaries, SSPs, SAPs, SARs, POA&Ms, continuous monitoring, security assessments, risk decisions, and remediation evidence
Support assessment and approval of AI models, third-party AI services, cloud services, model providers, APIs, tools, and data-handling practices before integration into DOL systems
Validate that approved cloud AI services satisfy applicable FedRAMP requirements and DOL authorization expectations
Ensure PII, CUI, prompts, retrieval context, embeddings, model outputs, logs, backups, and evaluation data are protected through approved controls
Support AI Incident Response Plan development and maintenance, including escalation paths, evidence preservation, reporting templates, severity classification, containment procedures, and post-incident review
Coordinate security incident investigation, containment, mitigation, recovery, and reporting for suspected or confirmed security events
Support supply-chain security, SBOM generation, dependency scanning, secure-development attestations, vulnerability remediation, and third-party risk management
Collaborate with engineering teams to integrate security into development, testing, deployment, and production operations

Requirements

What you’ll need

Bachelor's degree in cybersecurity, computer science, information assurance, engineering, information systems, or a related field
At least five years of experience in cybersecurity engineering, cloud security, application security, DevSecOps, security architecture, RMF/ATO, or comparable technical security roles
Experience with Federal cybersecurity frameworks, including FISMA, NIST SP 800-53, NIST SP 800-171, FIPS 199, FIPS 200, FedRAMP, and RMF/ATO
Experience securing cloud applications, APIs, data platforms, CI/CD pipelines, identity services, and containerized or cloud-native systems
Experience with vulnerability management, security logging and monitoring, incident response, security testing, and security documentation
Working knowledge of AI/ML security threats, including prompt injection, jailbreaking, model compromise, model extraction, data poisoning, RAG poisoning, retrieval manipulation, and AI supply-chain risks
Strong communication skills and ability to coordinate with engineering, privacy, governance, security, program-management, and Government stakeholders
Must be willing to work 3 days onsite at customer site in Washington, DC
Preferred: CISSP, CCSP, CISM, Security+, AWS Security Specialty, Azure Security Engineer, GIAC, CEH, or comparable security certification
Preferred: Experience with AI red teaming, AI threat modeling, OWASP Top 10 for LLM Applications, NIST AI RMF, CISA AI guidance, MITRE AI security frameworks, or adversarial ML testing
Preferred: Experience with SIEM/SOAR, CSPM, secrets management, SAST/DAST, container security, SBOMs, software supply-chain assurance, and cloud security posture management
Preferred: Experience with Federal civilian agencies, Government ATO packages, or FedRAMP environments
Must be a US Citizen or Green Card holder
Must be local to the DMV area

Benefits

Comp & perks

15 PTO days
11 paid holidays
Medical Insurance with 3 options (HSA with $600 Employer Contribution)
Dental Insurance with no age limit orthodonture
Vision Insurance through EyeMed with in- and out-of-network coverage
Short-Term and Long-Term Disability coverage with 100% premium support
Life insurance and AD&D with 100% premium support
Supplemental Life Insurance
Critical Care and Accident Insurance availability
Pet Insurance through Nationwide
Employee Assistance Program
401(k) with enrollment from day one
4% deferral by company
$1500 Annual Training Budget
$1500 Referral bonus
Eligibility for annual merit and discretionary bonus
Flexible work arrangements