Proficient in programming languages like Python, plus one or more (Java, Go, C#, etc.).
Responsibilities
Design and deploy AI-driven vulnerability detection pipelines for cloud and on-premise infrastructures.
Leverage AI for anomaly detection and zero-day threat identification.
Develop intelligent risk prioritization models that correlate vulnerabilities with business impact.
Create automated remediation solutions, including patching pipelines and secure coding practices.
Integrate AI security controls within CI/CD workflows and MLOps processes.
Collaborate with cross-functional teams to translate security findings into actionable developer guidance.
Benefits
Opportunities for professional development and training in advanced AI and cybersecurity.
Access to cutting-edge technology and tools in cybersecurity.
Support for work-life balance with flexible working arrangements.
Collaborative work environment with talented professionals across various fields.
Full Job Description
Job Title: AI Cyber Engineer (Enterprise Security & Autonomous Remediation) Job Location: Washington, DC
Position Overview
The AI Cyber Engineer is a senior technical role responsible for implementing and operating AI-driven cybersecurity capabilities to continuously detect, prioritize, and remediate vulnerabilities across the enterprise IT environment. This role combines cybersecurity engineering, artificial intelligence, software development, and automation to move beyond traditional reactive security into proactive and autonomous remediation. The engineer will leverage advanced AI models, agentic frameworks, and security tooling to:
Continuously Client vulnerabilities across infrastructure, applications, and AI systems.
