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Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are seeking a highly motivated AI Cyber Engineer responsible for implementing and operating AI-driven cybersecurity capabilities to detect, prioritize, and remediate vulnerabilities across the enterprise IT environment.
Responsibilities:
• 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.
• 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.
• 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 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 practices.
• 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.
• 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.
Qualifications:
Required:
• 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)
• 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
• Experience applying: NIST AI Risk Management Framework
• Experience applying: AI & Emerging Security
• Experience applying: AI and model fundamentals
• Experience applying: 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
• Experience writing: Automation scripts
• Experience writing: 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
• 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.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.