Solutions Engineer
Experian
CloudMicroservices
Cybersecurity Solutions Architect/Engineer, AI/ML & Cloud Security
Dragonfli Group
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob 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.
