AI Security Architect & Engineer

Cybersecurity Solutions Architect/Engineer – GDIT – Falls Church, VA

Cybersecurity Solutions Architect/Engineer supporting the United States Postal Service. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

• Falls Church, VA
• Morrisville, NC
• Eagan, MN
• Remote considered

• Play 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.
• Provide oversight and ensure compliance with security policies and programs related to AI, including secure development life cycles and vulnerability management processes.
• Lead or support cybersecurity risk assessments, audits, program development, and incident response exercises, especially those involving AI systems.
• Establish and maintain secure development environments within AI platforms and integrated tools.
• Work with security teams and legal/business stakeholders to operationalize new cybersecurity AI/ML legislation.
• Collaborate with cross-functional teams, including AI/ML developers, security architects, and business stakeholders.
• Develop training programs to raise awareness of AI security risks and mitigation options.
• Threat Modeling and Risk Assessment: identify potential vulnerabilities and weaknesses within the organization’s systems and infrastructure, assess associated risks, and develop mitigation strategies.
• Design and implement technical solutions (e.g., DLP, SIEM, endpoint monitoring) to support insider risk/threat detection, logging, and telemetry ingestion.
• 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 keep detection logic relevant to changing behaviors and environments.
• Support the secure deployment of behavior analytics models while ensuring infrastructure and access controls meet privacy and governance requirements.
• Contribute to engineering automated response capabilities, including alerting, blocking, or throttling based on defined insider risk thresholds.

• Bachelor’s Degree in Computer Science or related technical discipline (preferred but not required).
• NOTE:
  
  If a candidate does not have a relevant college degree, an additional 4 years of relevant work experience will be required.

• 8+ years of related experience required.
• 8+ years of experience with system integration and scripting, including APIs, log forwarding, and automation via Python, Power Shell, or Bash.
• Deep understanding of Artificial Intelligence (AI) and machine learning (ML) to develop, implement, and manage secure AI-driven solutions.
• Essential blended skillset combining strong technical knowledge in cybersecurity and AI with effective leadership, communication, and strategic thinking.
• Strong technical foundation with in-depth knowledge of computer networks, operating systems (Windows, Linux, UNIX), cloud computing (AWS, Azure), network security protocols (TCP/IP, DNS, etc.), cryptography, and database security.
• Expertise in identifying and mitigating AI‑specific vulnerabilities such as adversarial attacks, model poisoning, privacy concerns, 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.
• Certifications focused on AI security, governance, and development.
• Strong understanding of network architecture and endpoint telemetry, especially regarding insider interactions in on‑prem and cloud environments.
• Understanding of common cyber threats, attack vectors, vulnerabilities, security frameworks (NIST, ISO 27001), and security technologies for a proactive, data‑driven approach to protection.
• Excellent written and verbal communication skills and ability to articulate complex security concepts to technical and non‑technical audiences.
• Awareness of privacy and…