IT- Cyber Security Architect/ Engineer III

IT- Cyber Security Architect/ Engineer III #28128147 Falls Church, VA Contract On-Site Flexibility/Remote: Key Responsibilities AI-Enhanced Pipeline Security: Architect and maintain automated CI/CD pipelines that utilize AI/ML models for static and dynamic analysis (SAST/DAST) to identify complex vulnerabilities that traditional rule‑based tools miss. Securing AI Workflows: Design security frameworks for the end‑to‑end AI lifecycle, including securing data ingestion, protecting model weights, and implementing "Guardrail" architectures for Large Language Models (LLMs). Intelligent Automation: Develop AI‑driven orchestration (SOAR) to automate the triage and remediation of security findings, reducing manual overhead for engineering teams. Policy as Code (Client): Implement enterprise‑wide governance using tools like Open Policy Agent (OPA) to enforce security compliance automatically across multi‑cloud environments. Threat Modeling & Red Teaming: Conduct advanced threat modeling for cloud‑native applications, specifically accounting for AI‑specific attack vectors like model inversion or data poisoning. Developer Empowerment: Create self‑service security tools and "Golden Paths" that allow developers to deploy securely without friction, fostering a proactive security culture. Technical Qualifications DevOps & Infrastructure: Expert‑level experience with Kubernetes, Terraform/Pulumi, and cloud platforms (AWS, Azure, or GCP). Security Tooling: Mastery of integrating SAST, DAST, SCA, and Secret Scanning into GitHub Actions, GitLab CI, or Jenkins. AI/ML Security: Hands‑on experience securing MLOps pipelines and implementing security for AI‑integrated APIs. Programming: Proficiency in Python, Go, or Bash for building custom security automation and AI‑driven scripts. Observability: Deep knowledge of eBPF, Prometheus, and AI‑powered logging/monitoring tools (e.g., Dynatrace or Datadog). Preferred Experience 10+ years in IT, with at least 5 years dedicated to DevSecOps leadership in high‑scale environments. Proven track record of implementing AI/ML to solve operational or security challenges. Education: A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four additional years of related experience is required. Soft Skills: Strong ability to bridge the gap between "Speed of DevOps" and "Rigors of Security" while communicating clearly with executive leadership. Core Objectives Shift Left: Achieve 90% automated security coverage across all production‑bound code. Mean Time to Remediate (MTTR): Utilize AI to reduce vulnerability remediation time by 40% within the first year. Innovation: Stay at the forefront of the "AI for Security" and "Security for AI" movements. #J-18808-Ljbffr PLANIT Group