AI Applicaiton Security Engineer

Aura is on a mission to create a safer internet. In a world where our lives are increasingly online, Aura's category-defining suite of intelligent digital safety products help millions of customers protect themselves against digital threats, and that number is growing rapidly. This is an exciting phase at Aura, and our team of over 400 people worldwide is guided by a leadership slate that's successfully grown startups into multi-billion dollar organizations. 

Come build with us!

About the role: 

The Information Security team enables services to get safely delivered in a rapidly growing company, for both customers and employees. As an AI Application Security Engineer, you will play a pivotal role in safeguarding our company's AI ecosystem. You'll be a key contributor in fortifying our security posture by architecting and implementing robust security controls, while collaborating closely with cross-functional teams to ensure the confidentiality, integrity, and availability of our AI assets. Your expertise in AI security will be essential in proactively identifying and mitigating threats, responding to concerns, and maintaining alignment with industry best practices. By partnering with our business and product teams, you will foster a culture of security and enable the continued innovation and growth of our AI initiatives.

Day to Day: 

• Architect, design and implement security controls for maintaining a secure ecosystem for AI applications, built in alignment with a zero-trust architecture
• Stay current with AI security solutions and threats in the market, recommend improvements and solutions to existing posture
• Assist with the documentation and maintenance of designs for security systems and controls for AI applications
• Assist in incident response, breach analysis and tabletop exercises
• Work closely with product development, engineering, and IT teams on various architectural and design aspects of AI product and internal security
• Maintain strong knowledge of ongoing AI security threats and recommended best practices
• Conduct AI security readiness assessments, application pen tests, and analysis of findings
• Collaborate with compliance and engineering teams to build actionable functional and technical requirements for AI security
• Engage in other security-related tasks and projects as assigned.

What you bring to the table:

• 2+ years of hands-on experience building or securing products in AWS 
• Proven experience in cybersecurity, with a focus on AI or machine learning applications
• Strong understanding of machine learning algorithms and their potential vulnerabilities
• Proficient …