AI Cyber Engineer

ampcusChantilly, VA

17 days ago

Occupations

Information Security Engineers Information Security Analysts Computer Systems Engineers/Architects

Industries

Computer Systems Design Services Other Computer Related Services Custom Computer Programming Services

APPLY NOW

About the role

Job-ID32491953Reference26-09774 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

Job Summary: 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.

Key Responsibilities:

AI-Driven Vulnerability Detection & Analysis
Design and deploy AI-powered vulnerability discovery pipelines across: Cloud (AWS, Azure, GCP)
On-prem infrastructure
Applications, APIs, and microservicesAI/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 RMFMITRE 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.

Required Qualifications

Education & Experience:

Bachelor's or Master's 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
CybersecurityVulnerability management, penetration testing, threat modeling
Security tools: SAST, DAST, SCA, SIEM, SOAR, CNAPP, CSPMZero Trust architecture, IAM/PAM, network security
Experience applying: MITRE Telecommunication&CK/ATLASNIST AI Risk Management FrameworkAI & Emerging SecurityAI and model fundamentalsAI security risks
Experience with LLMs, RAG, and agentic AI systemsExperience with autonomous agents or multi-agent AI systemsExperience 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 & InfrastructureAWS, Azure, and/or GCP security services
Containers and Kubernetes securityAPI 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.

Matching similar jobs

JOB OVERVIEW

Experience level

Lead

Location

Chantilly, VA

Occupation

Information Security Engineers

Industry

Computer Systems Design Services

Posted

17 days ago

Tired of running searches?

Rank the roles you'd take once, and matches like these arrive on their own.

CREATE PROFILE