Dragonfli Group

Cybersecurity Solutions Architect/Engineer, AI/ML & Cloud Security

Dragonfli Group

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudCyber SecurityLinuxPythonTCP/IPUnix

About the role

  • Lead the design, integration, and optimization of AI/ML-powered security capabilities to detect, prevent, and respond to advanced cyber threats.
  • Oversee and ensure compliance with AI-related security policies, secure development lifecycles, and vulnerability management processes.
  • Conduct cybersecurity risk assessments, audits, program development, and incident response exercises involving AI systems.
  • Establish secure development environments for AI platforms and integrated tools.
  • Collaborate with AI/ML developers, security architects, legal, and business stakeholders to operationalize AI security strategies and comply with emerging legislation.
  • Develop and deliver AI security training programs to raise awareness of risks and mitigation techniques.
  • Perform threat modeling and risk assessments to identify vulnerabilities and recommend mitigation strategies.
  • Design and implement security solutions such as DLP, SIEM, and endpoint monitoring to support insider threat detection and telemetry ingestion.
  • Create and maintain security blueprints, principles, and standards to ensure secure, scalable IT architecture.
  • Tune and optimize detection systems to reduce false positives and adapt to evolving behaviors and environments.
  • Support secure deployment of behavioral analytics models with privacy and governance compliance.
  • Engineer automated response capabilities for insider risk detection, including alerting and access control actions.

Requirements

  • Bachelor’s degree in computer science, information security, or related field.
  • Deep understanding of AI/ML concepts, implementation, and security.
  • Strong technical foundation in network security, operating systems (Windows, Linux, UNIX), cloud computing (AWS, Azure), TCP/IP, cryptography, and database security.
  • Proficiency in system integration, API security, log forwarding, and automation (Python, PowerShell, Bash).
  • Knowledge of network architecture, endpoint telemetry, and insider risk detection in hybrid environments.
  • Understanding of cyber threats, attack vectors, vulnerabilities, and security frameworks (NIST, ISO 27001).
  • Strong communication skills to convey complex security concepts to technical and non-technical audiences.
  • Awareness of legal and ethical considerations in insider monitoring and AI/ML deployment.