General Dynamics Information Technology (GDIT) is one of the largest IT and mission services providers to the government, focused on enabling healthcare organizations. They are seeking an AI Cybersecurity Engineer Senior to integrate AI and machine learning into security operations and enhance cyber readiness for federal healthcare clients.
Responsibilities:
- Play a crucial role in strengthening security operations by integrating advanced AI and machine learning capabilities into security testing, threat analysis, and defensive automation
- Lead efforts to design, develop, and operationalize AI‑driven security testing solutions that enhance vulnerability discovery, adversarial simulation, and overall cyber readiness
- Collaborate closely with security analysts, penetration testers, engineers, and operations teams to embed AI‑based efficiencies into existing cybersecurity workflows
- Drive innovation by identifying opportunities to automate complex security tasks, improve detection accuracy, and accelerate mission outcomes using responsible and explainable AI
- Utilize AI/ML frameworks, scripting languages, cloud environments, and security testing/analysis toolsets to build solutions tailored to mission needs
Requirements:
- Bachelor's degree (BA/BS) in Computer Science, Engineering, Information Security, or a related field
- 5+ years of professional experience in cybersecurity, AI/ML engineering, security automation, or a closely related discipline
- Demonstrated experience integrating AI/ML into security operations, testing, or threat analysis environments
- Proficiency with AI/ML frameworks and tooling (such as TensorFlow, PyTorch, scikit‑learn, or similar)
- Strong scripting and automation abilities, particularly in Python
- Hands‑on experience with threat analytics, adversarial simulation techniques, or security automation pipelines
- Familiarity with penetration testing, red/blue team tools, or vulnerability assessment platforms
- Experience working with cloud platforms and cloud security technologies (AWS, Azure, GCP)
- Ability to collaborate effectively across distributed teams and communicate complex concepts clearly