AI Cyber Engineer

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: AI Cyber Engineer

Location(s):Chantilly VA

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.
• Generate prioritized remediation strategies.
• Automatically develop fixes where feasible (e.g. patches configuration updates code changes).
• Integrate findings into enterprise DevSecOps and SOC workflows.

• AI-Driven Vulnerability Detection & Analysis
  • Design and deploy AI-powered vulnerability discovery pipelines across:
    • Cloud (AWS Azure GCP)
    • On-prem infrastructure
    • Applications APIs and microservices
    • AI/LLM systems and data pipelines.
  • Leverage AI techniques for:
    • Pattern recognition in logs telemetry and attack signals
    • Behavioral anomaly detection
    • Identification of zero-day and emerging threats.
    • Perform AI-assisted attack simulation and adversarial testing to proactively identify weaknesses.
• Intelligent Risk Prioritization
  • Leverage and build-on AI models and scoring mechanisms to:
    • Correlate vulnerabilities with threat intelligence exploitability and business impact
    • Reduce false positives and alert fatigue.
  • Implement contextual risk evaluation incorporating:
    • Asset criticality
    • Identity exposure (human and non-human identities)
    • Data sensitivity and regulatory impact.
  • Align prioritization with frameworks such as:
    • NIST CSF/AI RMF
    • MITRE Telecommunication&CK/ATLAS.
• Automated & Assisted Remediation
  • Develop and maintain:
    • Automated patching pipelines
    • Infrastructure-as-Code (IaC) remediation templates
    • Secure code transformation scripts (e.g. Python Java Terraform).
    • Build AI agents to perform repeatable permissible tasks.
    • Collaborate with engineering teams to ensure safe deployment of automated remediation.
• Secure AI & Application Ecosystem Engineering
  • Secure enterprise AI systems including:
    • LLMs RAG pipelines AI agents and copilots.
  • Implement protections against:
    • Prompt injection data exfiltration adversarial attacks AI model integrity risk and more.
  • Build and enforce:
    • AI guardrails and runtime controls
    • Secure model deployment pipelines
    • Data protection and governance practices.
• DevSecOps & Continuous Security Integration
  • Embed AI-driven security controls across:
    • CI/CD pipelines and MLOps workflows.
  • Implement:
    • Shift-left security scanning and validation
    • Automated policy enforcement
    • Continuous compliance monitoring.
  • Ensure vulnerabilities are automatically:
    • Detected pre-production and remediated (or blocked) before release.
• Cross-Functional Collaboration
  • Work closely with:
    • AI Program teams
    • Cloud Platform and Cloud Engineering teams
    • Software engineering teams
    • Security operations and GRC teams
  • Translate security findings into developer-friendly remediation actions
  • Provide guidance on secure coding and vulnerability remediation.

• Education & Experience
  • Bachelors or Masters degree in Computer Science Cybersecurity or related field
  • 8 years in cybersecurity software engineering or cloud security
  • 3 years working with AI/ML systems or AI security
  • Security certifications (e.g. CISSP OSCP CCSP AWS Security Specialty)
• Technical Skills
  • Cybersecurity
    • Vulnerability management penetration testing threat modeling
    • Security tools: SAST DAST SCA SIEM SOAR CNAPP CSPM
    • Zero Trust architecture IAM/PAM network security
  • Experience applying:
    • MITRE Telecommunication&CK/ATLAS
    • NIST AI Risk Management Framework
    • AI & Emerging Security
    • AI and model fundamentals
    • AI security risks
    • Experience with LLMs RAG and agentic AI systems
    • Experience with autonomous agents or multi-agent AI systems
    • Experience configuring and using AI-driven security tools or platforms
  • Software Engineering & Automation
    • Programming: Python (required) plus one or more (Java Go C# etc.)
  • Experience writing:
    • Secure code
    • Automation scripts
    • Infrastructure as Code (Terraform etc.)
    • Experience generating or validating automated code fixes
  • Cloud & Infrastructure
    • AWS Azure and/or GCP security services
    • Containers and Kubernetes security
    • API security and microservices architecture
• Key Competencies
  • Strong problem-solving and systems thinking
  • Ability to translate security issues into practical solutions
  • Deep curiosity about emerging threats and AI capabilities
  • Balance between automation and risk control
  • Excellent communication with both technical and non-technical stakeholders.
    

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.