AI Security Engineer

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🦀 Maryland – Remote

🦀 Maryland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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Dynanet Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Dynanet Corporation is a company providing technology solutions including application services, cloud enablement, cybersecurity, DevSecOps, legacy system modernization, and robotic process automation. It employs a 4D methodology for rapid development that aligns IT investments to mission outcomes to improve business performance. Dynanet focuses on IT modernization and human-centered design to address core business needs and meet organizational objectives. The company serves diverse clients, including federal agencies, by customizing systems to meet specific mandates and modernizing aging systems to perform in modern environments. Dynanet emphasizes a strong process methodology and the power of people and connections in delivering successful IT solutions.

📋 Description

• Design reference architectures for secure LLM/AI agent deployments across Azure, AWS, or hybrid environments • Establish defense-in-depth controls for model endpoints, vector databases, prompt routing, tools/plugins, and orchestration layers • Implement runtime guardrails including prompt injection defenses, output content filtering, PII detection/redaction, jailbreak prevention, and tool use restrictions • Codify enterprise policies into enforceable controls through middleware, gateways, and policy engines • Integrate Entra ID/Azure AD, OAuth/OIDC, and RBAC/ABAC models • Apply DLP, encryption, key management/HSM, tokenization, and fine-grained data access for RAG pipelines • Embed threat modeling, secure coding, dependency scanning, secret scanning, and SAST/DAST into AI application pipelines • Define AI-specific code review checklists for prompt templates, tool bindings, and agent plans • Operationalize AI security and compliance frameworks and maintain model cards, data lineage, evaluation reports, and audit trails • Design adversarial tests and automated evaluation harnesses for AI security risks • Establish AI observability, privacy-aware logging, policy-hit monitoring, model-drift detection, cost governance, and anomaly detection • Define incident-response playbooks for unsafe outputs, data leakage, compromised tools, and model endpoint abuse • Partner with Product and Engineering teams to enable safe AI use cases • Provide training and guidance on responsible AI, secure agent design, and safe prompt engineering

🎯 Requirements

• Relevant degree in Computer Science, Engineering, Cybersecurity, or equivalent experience • 5–8+ years in application/cloud security with 2+ years in AI/ML or LLM security • Experience designing secure LLM/AI agent deployments across Azure, AWS, or hybrid environments • Hands-on guardrail implementation, including content filters, safety classifiers, prompt injection defenses, jailbreak prevention, and tool whitelisting • Experience securing RAG pipelines and vector databases • Knowledge of Azure OpenAI, AI Studio, AKS, Key Vault, Entra ID, Defender, Microsoft Purview, and M365 Copilot governance • Experience with AWS Bedrock, SageMaker, and KMS or GCP Vertex AI • Knowledge of OAuth/OIDC, SAML, SCIM, RBAC/ABAC, and secrets management • Knowledge of encryption, tokenization, redaction, differential privacy basics, DLP-based PII/PHI detection, data classification, retention, and lineage • Knowledge of STRIDE threat modeling, secure coding, dependency scanning, secret scanning, SAST/DAST, CI/CD, IaC, and policy-as-code • Experience with Azure Monitor/Sentinel, tracing, metrics, SIEM/SOAR, and automated AI evaluation pipelines • Working knowledge of NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and public-sector controls • Experience documenting controls, audits, and risk assessments • Proficiency in Python or TypeScript/Node.js • Experience with LangChain, Semantic Kernel, Guidance, or DSPy • Strong written and verbal communication skills • Ability to prioritize multiple competing priorities in a high-volume, fast-paced environment • Ability to interact professionally and collaboratively with teammates, clients, and business partners • Ability to support and advance IT service delivery in federal agencies • Excellent judgment and creative problem-solving skills • Ability to respond to requests via email, MS Teams, or other communication means during core business hours • Active listening and collaboration skills • Certifications listed as nice to have: CISSP, CCSP, AZ-500, GIAC, OSCP, AI-102, AZ-305, AWS Security Specialty, CISA, ISO 27001 Lead Implementer, and Responsible AI certifications

🏖️ Benefits

• Industry Competitive Compensation • Medical and Dental Insurance • Paid Time Off/Holidays • 401(k) Retirement Plans with Matching • Remote Work* • Paid Training • Employee Referral Program • Employee Development Program