AI Cybersecurity Engineer Principal

Req : RQ210800

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: None

Public Trust/Other

Required:

None

Job Family: Cyber and IT Risk Management

Skills:

Cybersecurity, Information Security, Information Technology (IT)

Experience:

8 + years of related experience

Job Description:

Advance your career while impacting our national security in cyber as an AI Cybersecurity Engineer Principal e, technologists have many paths to grow a meaningful career supporting cyber missions and operations across the federal government.

As an AI Cybersecurity Engineer Principal
, the work you’ll do at GDIT will be impactful to the mission of our government clients. You will play a crucial role via the following:

• Lead initiatives to integrate AI technologies in cybersecurity

• Collaborate with cross‑functional teams to design and implement AI‑driven defense mechanisms.

• Drive innovation in cybersecurity operations by leveraging machine learning and AI models.

• Utilize specialized tools like Crowd Strike, Qualys, and Splunk/SOAR to enhance security operations and automate threat detection and response.

• Lead the strategy for securing AI systems, including large language models (LLMs) and agentic AI platforms, against adversarial attacks, prompt injection, and data leakage.

• Design, develop, and optimize AI and machine learning algorithms to enhance threat detection, prediction, and prevention capabilities.

• Mentor junior engineers, act as a technical resource, and serve as an internal AI/ML security thought leader.

• Stay current with emerging generative AI security threats, vulnerabilities, and mitigation techniques. Drive research and innovation in defensive AI technologies.

• Establish and enforce policies and best practices for the secure and ethical use of AI. Conduct audits to ensure compliance security standards.

• Conduct software and systems engineering and software systems research to develop and employ new capabilities, ensuring security is fully integrated.

• Plan, test, implement, maintain, administer, and recover supported tools or services.

• Conduct comprehensive technology research to evaluate potential vulnerabilities in systems.

• Design, develop, test, and evaluate information system security throughout the systems development life cycle.

• Conduct risk assessments and provide recommendations for application configuration.

• Responsible for a wide range of security knowledge including architectures, firewalls, electronic data traffic, and network access.

• Use encryption technology, penetration and vulnerability analysis of various security technologies, and information technology security research.

• Involved in the design and development of new systems, applications, and solutions for external customers’ enterprise‑wide cyber systems and networks.

• Ensure the logical and systematic conversion of customer or product requirements into solutions that acknowledge technical, schedule, and cost constraints.

• Integrate new application security features into existing infrastructures, design cybersecurity architectural artifacts, provide architectural analysis and relate existing system to future needs and trends, embed advanced forensic tools and techniques for attack reconstruction, provide engineering recommendations, and resolve integration/testing issues.

• Build and maintain trusted relationships with customers.

• Coaches and provide guidance to less‑experienced professionals.

• May serve as a team or task lead.

Bring your cyber expertise and drive for innovation to GDIT. The AI Cybersecurity Engineer Principal must have:

●

Education:

Bachelor of Arts/Bachelor of Science

●

Experience:

8+ years of related experience

●

Required Skills:

• Certification qualifying for IAT Level II or ability to obtain within 90 days of hire

• Proficiency in Crowd Strike, Qualys, Splunk/SOAR, AI, and machine learning in cybersecurity

• Strong analytical and problem‑solving skills, excellent communication, and teamwork abilities

• Deep understanding of AI/ML concepts, machine learning models, and adversarial attacks.

• Proficiency in programming languages such as Python, Go, or Java.

• Strong knowledge of cloud security across…