About the role
<div class="content-intro"><p><img style="max-width: 100%;" src="https://66degrees.com/wp-content/uploads/2025/03/JobPosting-Cover.jpg" alt="" width="1400"></p> <h2>Overview of 66degrees</h2> <p>66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.</p> <p>At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.</p></div><h2>Overview of Role</h2> <p>We are seeking an experienced AI Security Architect to establish security guardrails and governance frameworks for artificial intelligence deployment across our organization. This critical role will work directly with the AI business deployment team to develop standards, controls, and best practices that enable safe and responsible AI usage at both the employee and developer levels. As we build our AI corporate strategy from the ground up, you will be instrumental in shaping how our organization securely leverages AI technologies while protecting customer data, ensuring regulatory compliance, and mitigating emerging AI-related risks.</p> <p><strong>Duration: 6 Months, Contract (potential to extend or convert)</strong></p> <h2>Responsibilities</h2> <ul> <li>Design and implement comprehensive AI security architecture, including governance frameworks, data protection controls, model security standards, and usage policies for enterprise AI systems</li> <li>Collaborate with the AI business deployment team to establish security requirements and controls for AI applications, ensuring alignment between business objectives and security standards</li> <li>Develop and enforce AI usage policies and security guardrails for employees, including guidelines for acceptable use of generative AI tools, prompt engineering security, and data sharing restrictions</li> <li>Establish security standards and best practices for AI/ML development teams, covering model training security, data pipeline protection, API security