AI Security Architect

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Collaborate closely with the IT and Development teams to design and implement sophisticated AI security tools at the application level.

• Take a pivotal role in improving the security features of our flagship in-house application, "Enforcer," by utilizing state-of-the-art AI technologies.

• Work alongside our Development teams to create a secure AI development lifecycle.

• Aid in the assessment, selection, and secure configuration of AI/ML tools, libraries, and platforms to empower our developers while maintaining a strong security posture.

• Serve as the primary point of contact for reviewing and recommending secure AI solutions for various business units across the organization.

• Develop and maintain a curated collection of approved AI tools and services that comply with our security standards and align with business objectives.

• Stay ahead in the rapidly changing AI landscape, including emerging technologies, evolving threats, and regulatory requirements (e.g., GDPR, CCPA as related to AI).

• Provide regular updates and strategic insights to leadership on matters related to AI security.

• Oversee and optimize our Third-Party Risk Management (TPRM) platform.

• Utilize the platform to create and refine a comprehensive AI vendor assessment process, establishing clear requirements for onboarding new AI partners and solutions.

• Contribute to the daily functions and strategic goals of the broader Information Security team.

• Support incident response, threat modeling, and security architecture reviews as necessary.

⛳️ Requirements

• Bachelor’s degree in computer science, Information Security, or a related discipline.

• 5-7+ years of experience in a senior information security position.

• Proven expertise within the **Microsoft Azure** ecosystem, particularly in securing data services such as Azure Data Lake Storage, Azure Databricks, and Azure Machine Learning.

• In-depth understanding of the security challenges and controls relating to Large Language Models (LLMs), including issues like prompt injection, data poisoning, and model theft.

• Demonstrated experience in a fast-paced business environment, especially in a company undergoing significant technological changes.

• Strong grasp of secure software development lifecycle (SDLC) principles.

🏝️ Benefits

• Health insurance

• Professional development opportunities