Systems Engineer - AI Integration - TS​/SCI Polygraph

Systems Engineer (AI/ML)

Design and implement AI/ML architectures, infrastructure, and integrations to accelerate AI‑driven cybersecurity solutions. Work across cloud, hybrid, and on‑prem environments while ensuring security, scalability, and reliability.

• Design and implement architectures that integrate AI/ML platforms, model‑serving infrastructure, vector databases, and MLOps tooling into enterprise environments.
• Design, deploy, and maintain AI/ML platforms and supporting infrastructure across cloud, hybrid, and on‑prem environments.
• Integrate AI services with existing enterprise systems, including SIEM/SOAR platforms, APIs, ticketing systems, and operational data sources.
• Build and maintain secure, scalable pipelines for AI workloads, telemetry, logs, and other structured or unstructured data.
• Automate infrastructure deployment, configuration management, and operational workflows using tools such as Terraform and Ansible.
• Support Kubernetes‑ and container‑based environments used for AI applications and model serving.
• Work closely with cybersecurity teams to implement hardening, access controls, monitoring, and other security requirements for AI systems.
• Participate in threat modeling, risk assessments, and ATO‑related activities for AI infrastructure and integrations.
• Monitor and troubleshoot issues across systems, networks, applications, and cloud environments.
• Develop operational documentation including architecture diagrams, runbooks, SOPs, and integration documentation.
• Advise technical leadership and mission stakeholders on implementation approaches, tradeoffs, and operational risks related to AI technologies.
• Mentor junior engineers and contribute to improving engineering and operational practices across the team.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related field (equivalent experience considered).
• 8+ years of related experience in systems engineering, infrastructure engineering, or solutions architecture within secure environments.
• Hands‑on experience deploying or integrating AI/ML platforms, services, or tooling into operational systems.
• Strong background in Linux administration (RHEL, CentOS, Ubuntu), networking fundamentals (TCP/IP, DNS, VPNs, firewalls, routing, proxies, load balancing).
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Cloud infrastructure experience, primarily AWS, including IAM, networking, and security services.
• Infrastructure and configuration management experience with Terraform, Cloud Formation, or Ansible.
• Scripting or development experience with Python, Bash, Power Shell, Go, or similar languages.
• Experience with AI/ML infrastructure such as model serving platforms and APIs (MLflow, Sage Maker, Torch Serve, Vertex AI, Azure ML, custom REST/gRPC services), logging and telemetry pipelines, relational, No
  
  SQL, object storage, or vector database technologies.
• CI/CD, Git workflows, artifact management, and automated deployment pipelines knowledge.
• Understanding of core cybersecurity concepts: authentication and authorization (SSO, SAML, OIDC, OAuth, RBAC), encryption, certificates, key management, security monitoring, and SIEM/SOAR integrations.
• Strong troubleshooting and problem‑solving skills.
• Ability to translate operational and security requirements into technical solutions.
• Comfortable working in fast‑paced, highly collaborative environments.
• Strong written and verbal communication skills.

• Strong troubleshooting and problem‑solving skills.
• Preferred:
  Experience supporting AI‑driven cybersecurity use cases such as threat detection, anomaly detection, UEBA, or automated incident response.
• Preferred:
  Experience integrating hosted or on‑prem LLM platforms.
• Preferred:
  Familiarity with retrieval‑augmented generation (RAG), prompt engineering, and associated data pipelines.
• Preferred:
  Experience with cybersecurity platforms such as Splunk, Elastic, QRadar, EDR/XDR, IDS/IPS, or SOAR technologies.
• Preferred:
  Experience operating in regulated, mission‑critical, or high‑security environments.
• Location:
  
  Herndon, VA – customer site.

• Medical plan options, Health Savings Account, dental, vision, and 401(k) plan with company match.
• Paid time off: vacation, sick, personal, holidays, paid parental, military, bereavement, and jury duty leave.
• Short‑term and long‑term disability benefits, life, accidental death, and dismemberment, personal accident, critical illness, and business travel/accident insurance.
• Full‑flex work weeks where possible.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans.