Applied AI Engineer, Cyber, Government

OpenAI; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

OpenAI seeks an Applied AI Engineer to strengthen cybersecurity for government clients. You will apply AI techniques to detect and prevent threats while building secure prototypes and evaluating system performance.

You’ll work directly with government agencies and cross-functional teams to translate security needs into concrete AI-enabled solutions. The role requires hands-on programming and deep cybersecurity knowledge, covering both offensive and defensive aspects, and a commitment to

Qualifications

• Extensive experience in cybersecurity.
• Hands-on programming experience.
• Familiarity with AI/ML in security is a plus.
• Ability to collaborate with government agencies and security leaders.

Responsibilities

• Implement AI-driven cybersecurity solutions for government clients.
• Conduct technical discovery and build secure prototypes.
• Evaluate deployed systems and measure outcomes.
• Collaborate with security leaders and cross-functional teams.

Skills

Cybersecurity

Python

JavaScript

Go

Open-source

Job description

OpenAI seeks an Applied AI Engineer to enhance cybersecurity solutions for government clients. Candidates should have extensive experience in cybersecurity and programming skills in Python, JavaScript, or Go.

In this role, you will work directly with government agencies, implementing AI-driven cybersecurity solutions. Your responsibilities will include technical discovery, building secure prototypes, and evaluating the effectiveness of deployed systems. Collaboration with security leaders and technical teams will be crucial to establish success criteria and deliver measurable outcomes.

The position requires a deep understanding of both offensive and defensive cybersecurity, along with hands-on programming experience. You will contribute to open-source resources and internal knowledge sharing, while also maintaining a focus on high standards of technical execution across multiple projects.