AI Security Engineer

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency:  English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: The AI Security Engineer is responsible for implementing, validating, and supporting security controls for artificial intelligence, generative AI, and agentic solutions across the enterprise. This role works closely with AI engineering, application development, platform, cybersecurity, governance, and architecture teams to help ensure AI-enabled solutions are secure, resilient, compliant, and operationally ready. As a key contributor within the Forge AI Security organization, the AI Security Engineer assists in the design, implementation, testing, monitoring, and validation of security capabilities for AI-enabled applications, intelligent agents, retrieval-augmented generation (RAG) solutions, and enterprise AI platforms. The role supports security reviews, threat modeling activities, adversarial testing exercises, control validation efforts, and deployment readiness assessments throughout the AI delivery lifecycle. This position requires hands-on security engineering experience and a strong understanding of modern application security principles, cloud security, and AI security concepts. The role regularly partners with developers and solution teams to implement security controls, troubleshoot security issues, validate configurations, and improve the overall security posture of AI-enabled systems. The successful candidate will be comfortable working across no-code, low-code, and pro-code AI development environments and supporting AI solutions deployed within Microsoft Azure and AWS cloud platforms, including services such as Azure AI, Azure OpenAI, and Amazon Bedrock. ESSENTIAL DUTIES AND RESPONSIBILITIES The following is a summary of the essential functions for this role. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. AI Security Engineering Implement and maintain security controls for AI-enabled applications, agentic workflows, intelligent automation solutions, and AI platforms. Support secure integration of AI services, APIs, orchestration frameworks, and external tool connections. Configure and validate security controls including identity protections, access controls, secrets management, logging, monitoring, and deployment safeguards. Assist engineering teams in implementing secure patterns for AI and generative AI solutions. Support AI solution development across no-code, low-code, and pro-code environments. Security Reviews and Testing Participate in security architecture reviews, threat modeling activities, and AI security assessments. Assist in identifying security risks, design weaknesses, and control gaps within AI-enabled solutions. Perform validation testing to verify effectiveness of implemented controls and security requirements. Support adversarial testing, misuse-case analysis, vulnerability assessments, and deployment readiness reviews. Document findings, recommendations, remediation activities, and validation results. Detection, Monitoring, and Observability Build and maintain monitoring and alerting capabilities for AI-enabled applications and workflows. Develop and enhance detection logic designed to identify suspicious prompts, unusual workflow behavior, unauthorized access attempts, and