AI Security Engineer
Location: Scottsdale, AZ
Job Type: Full Time
Company: Provn
Salary: $130,000-$170,000 base
Category: Remote
Job Description Apply Now
The AI Security Engineer role is a key position focused on designing, developing, and deploying artificial intelligence solutions to enhance security protocols and protect sensitive data and systems. This role is essential in organizations that require both expertise in machine learning and a robust understanding of cybersecurity principles. As an AI Security Engineer, you will work at the intersection of AI and cybersecurity, leveraging machine learning models and data science to identify threats, prevent fraud, and safeguard critical information.
In this full-time opportunity, you will collaborate closely with a security-focused engineering team responsible for operating and scaling a cloud-native platform. The AI Security Engineer will take ownership of end-to-end AI project lifecycles, from data ingestion and preparation through model training, evaluation, deployment, and continuous monitoring in production environments. This position requires experience in shipping machine learning solutions, a thorough knowledge of security concepts such as threat modeling and authentication, and expertise in MLOps best practices, including model lifecycle management and monitoring on the cloud.
As part of your daily responsibilities, you will be expected to architect AI models and data pipelines that proactively detect and respond to security incidents, fraud, abuse, intrusions, and data leakage. The work combines deep technical implementation with strategic thinking to stay ahead of evolving threats and adversarial tactics. You will also be responsible for integrating your solutions into a broader security infrastructure, ensuring high reliability and low latency across mission-critical systems. Reporting to Security Operations leadership, you will have a direct impact on the security posture of the organization and its global membership base.
Success in this role requires fluency in Python, with hands-on experience in industry-standard machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. Familiarity with large-scale data environments and MLOps tools is necessary, as is the ability to work independently and collaboratively in a distributed team environment. A background in fraud detection, trust and safety, adversarial machine learning, or experience with Security Information and Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) platforms is highly advantageous.
The application process for the AI Security Engineer position emphasizes demonstrated capability over traditional resume review. Applicants will participate in a technical challenge that replicates real-world threat detection scenarios, showcasing both their technical and strategic approach to AI-driven security solutions. Candidates are evaluated based on their technical artifacts and a brief recorded walkthrough, ensuring that those who progress have proven, hands-on expertise in building and deploying AI systems for security applications.
Compensation for this AI Security Engineer role is competitive, and includes access to comprehensive benefits such as medical, dental, and vision insurance, as well as participation in retirement savings plans with company match options. Employees also gain access to exclusive travel marketplace discounts, supporting both work and personal enrichment. The position offers the freedom to research and implement innovative security defenses, making it ideal for professionals passionate about staying at the forefront of cybersecurity and artificial intelligence.
Applicants interested in advancing their careers as AI Security Engineers are encouraged to apply by completing the technical challenge via the provided application portal. The role offers the chance to contribute to a dynamic security team, protect members globally, and grow expertise within a cutting-edge technological environment.
AI Security Engineer - Summary- Design, develop, and deploy AI-driven security solutions to protect organizational platforms and data.
- Contribute directly to the security and reliability of a large-scale, cloud-native technology platform.
- Work with cross-functional engineering teams to integrate AI models within existing security frameworks.
- Emphasize hands-on expertise through a skills-based application process.
- Architect and implement machine learning models and pipelines for detecting security threats, fraud, and data breaches.
- Own the entire AI lifecycle: data ingestion, model training, evaluation, deployment, and continuous monitoring.
- Integrate AI security solutions with high availability and low latency requirements in production environments.
- Collaborate with security operations and engineering teams to address evolving threats and adversarial attack techniques.
- Maintain and improve MLOps best practices, including automated model monitoring and lifecycle management.
- Participate in a skills-based application process by completing a technical challenge simulating real-world security issues.
- Competitive salary, discussed during the interview process.
- Comprehensive medical, dental, and vision coverage.
- 401(k) plan with company match.
- Exclusive access to a private travel marketplace with significant discounts.
- Opportunities for research and implementation of innovative AI security solutions.
- Proven experience in deploying machine learning models into production, preferably in security contexts.
- Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Understanding of cybersecurity principles, including threat modeling and authentication protocols.
- Experience with large-scale data processing and MLOps tools.
- Background in fraud detection, trust and safety, adversarial machine learning, or SIEM and SOAR platforms is a strong plus.
- Ability to participate in and complete a technical challenge as part of the application process.
- Demonstrated skills in both AI/ML and cybersecurity.
- Resourceful, analytical, and able to innovate quickly in response to evolving security threats.
- Strong communicator, able to explain technical concepts to both technical and non-technical stakeholders.
- Comfortable working in distributed, cloud-native engineering teams.
- Driven to advance the state of AI-driven security solutions and contribute to global data protection efforts.
- Role offers a remote, full-time work environment.
- Application process is skills-based; candidates should be prepared to complete a technical challenge and a brief recorded walkthrough.
- For more details and to apply, candidates should use the official application portal as provided.
- The organization supports diversity and equal opportunity in employment.
Take the next step in your career as an AI Security Engineer by clicking the application button and submitting your completed challenge. Join a dynamic team, protect members worldwide, and grow your expertise in the fast-paced fields of artificial intelligence and cybersecurity.