Cybersecurity Engineer

Our client, a large government integrator, is looking to hire a Sr Cybersecurity Engineer for a 12-month contract. The consultant will work remotely supporting a large federal civilian agency and will p lay a pivotal role in today's rapidly evolving cybersecurity landscape by leading the integration and management of Artificial Intelligence (AI) and machine learning (ML) technologies into security solutions to combat sophisticated cyber threats.

The consultant will provide oversight and ensure compliance with security policies and programs related to AI, including secure development lifecycles and vulnerability management processes as well as lead or support cybersecurity risk assessments, audits, program development, and incident response exercises, especially those involving AI systems. The consultant will establish and maintain secure development environments within AI platforms and integrated tools. The consultant will work with security teams and legal/business stakeholders to operationalize new cybersecurity AI/ML legislation as well as collaborate with cross-functional teams, including AI/ML developers, security architects, and business stakeholders.

Required Skills:

• Ability to obtain and maintain a Public Trust clearance and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting
• Deep understanding of Artificial Intelligence (AI) and machine learning (ML) to develop, implement, and manage secure AI-driven solutions.
• Strong technical foundation. In-depth knowledge of computer networks, operating systems (Windows, Linux, UNIX), cloud computing (AWS, Azure), network security protocols (TCP/IP, DNS, HTTPS, etc.), cryptography, and database security.
• 8-12 years' experience with system integration and scripting, including APIs, log forwarding, and automation via Python, PowerShell, or Bash.
• Expertise in identifying and mitigating AI-specific vulnerabilities such as adversarial attacks, model poisoning, privacy concerns (e.g., data leakage), prompt injection, and bias detection.
• Experience with cloud-native security and data architectures (e.g., AWS, Azure, Google Cloud) and securing AI systems within those environments.
• Experience with threat Modeling and Risk Assessment.
• Able to identify potential vulnerabilities and weaknesses within the organization's systems and infrastructure, assessing the associated risks, and developing strategies to mitigate those risks.
• Experience designing and implementing technical solutions (e.g., DLP, SIEM, endpoint monitoring) to support insider risk/threat detection, logging, and telemetry ingestion.
• Able to develop actionable security blueprints, principles, models, designs, standards, and guidelines to ensure information technology architecture and support is consistent, usable, secure, and adds value to the business.
• Tune and optimize system performance to reduce false positives and ensure that detection logic remains relevant to changing behaviors and environments.
• Strong understanding of network architecture and endpoint telemetry, especially how insiders interact with systems in both on-prem and cloud environments.
• Understanding of common cyber threats, attack vectors, vulnerabilities, security frameworks (NIST, ISO 27001), and security technologies providing a proactive and data-driven approach to protection.