AI Cyber Engineer

Job-ID Reference
26-09774

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 Dev Sec Ops  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.

Dev Sec Ops  & 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 field8 years in cybersecurity, software engineering, or cloud security3 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, CSPMZero Trust architecture, IAM/PAM, network security

Experience applying:

MITRE Telecommunication&CK/ATLASNIST AI Risk Management FrameworkAI & 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…