AI engineer

Job responsibilities

• Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
• Share security experience to support the technical relationship with customers, including product and solution briefings and proof-of-concept work, partnering with Product Management to prioritize solutions impacting customer engagement with Google Cloud.
• Support customers facing presentations and conduct workshops to share the experience and be a subject matter expert on Cyber security.
• Work directly with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
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Minimum qualifications

• Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 10 years of experience in cyber-security.
• Experience in software development.
• Experience with Cloud technologies.
• Experience in application security, software development life-cycle (SDLC) practices, or vulnerability management.

Preferred qualifications

• Experience with AI-powered security tools for automated vulnerability detection, exploit generation, and code fix remediation.
• Experience in a customer-facing technical role, including delivering product and solution briefings, partnering with security leaders and technical teams, and optimizing for production results.
• Familiarity with platforms for deploying and managing security agents or AI models for security applications, particularly in code analysis and remediation workflows.
• Understanding the impact of AI on both offensive and defensive security strategies, including how AI can be leveraged to exploit binaries and firmware as effectively as source code.