Senior Cyber Security Engineer – AI Security

You will join a newly formed AI Security team of four people, currently based in the US, including an AI Architect, AI Engineers, and AI Security Managers. You will report to a Cyber Security Senior Architect. This role is part of the team's expansion into Greece, and you will work closely with an additional AI Automation Engineer who will join the Athens team.

The team operates in a distributed environment across Athens and the US, and you will work hybrid from the Athens office. The team is in build mode, defining AI security architecture, selecting tools, and establishing the security foundation for AI across the enterprise and in products.

As a Senior Cyber Security Engineer – AI Security, you will define and build AI security architecture across enterprise AI platforms and AI-enabled products, establishing controls where none exist today. You will evaluate, select, and onboard AI Security Posture Management tools, AI gateways, AI firewalls, and guardrail platforms for deployment across AWS, Azure, and GCP environments.

You will integrate prompt guardrails and AI DLP controls directly into AI applications and RAG pipelines to prevent data leakage and prompt injection before they reach production. You will design and deploy monitoring and detection capabilities that surface AI-specific threats such as model misuse, jailbreaks, and unauthorized data exposure.

You will conduct AI red-teaming exercises to identify vulnerabilities in LLMs, agents, APIs, and AI-enabled products, then build controls to mitigate what you find. You will automate AI security workflows, tool integrations, and monitoring using Python scripting and security orchestration platforms.

You will partner with AI architects, AI engineers, and product teams across the US and Greece to embed security into AI development from the start.

Your responsibilities will include:

• Defining and building AI security architecture across enterprise AI platforms and AI-enabled products
• Evaluating, selecting, and onboarding AI Security Posture Management tools, AI gateways, AI firewalls, and guardrail platforms
• Integrating prompt guardrails and AI DLP controls directly into AI applications and RAG pipelines
• Designing and deploying monitoring and detection capabilities that surface AI-specific threats
• Conducting AI red-teaming exercises to identify vulnerabilities in LLMs, agents, APIs, and AI-enabled products
• Automating AI security workflows, tool integrations, and monitoring using Python scripting and security orchestration platforms
• Partnering with AI architects, AI engineers, and product teams to embed security into AI development from the start

The impact you will have includes:

• Building the AI security foundation for a newly formed team, defining the architecture and controls that will protect AI across the enterprise
• Preventing data leakage, prompt injection, and model exploitation across AI products that customers depend on before these threats become incidents
• Enabling secure AI adoption at scale by establishing guardrails that let teams move quickly without creating vulnerabilities
• Shaping tool selection and vendor strategy for AI security, making decisions that will define the security stack for years
• Establishing monitoring and detection capabilities that give the security team visibility into AI risks they cannot see today
• Reducing time to secure AI features by building reusable security patterns and automation that other teams can adopt
• Influencing AI security strategy across Synopsys as the company scales its use of AI internally and in customer-facing products

To be successful in this role, you will need:

• 8+ years of hands-on experience in cybersecurity engineering, cloud security, application security, or related fields
• 3+ years securing cloud-native platforms and SaaS environments in AWS, Azure, or GCP
• 2+ years of direct experience securing AI systems, including work with AI Security Posture Management tools, AI gateways, AI firewalls, or AI DLP platforms
• Hands-on experience protecting AI/ML systems such as LLMs, agents, APIs, and RAG pipelines in production environments
• Strong proficiency in Python for security automation, scripting integrations, and building security workflows
• Demonstrated experience leading security initiatives end-to-end with minimal supervision, from architecture and tool selection through deployment and operations
• Proven ability to work cross-functionally with engineering, product, and third-party vendors to evaluate, onboard, and operate security tools

You will be part of a team that is passionate about building a secure and reliable AI platform. You will have the opportunity to work with cutting-edge technology and collaborate with a talented team of engineers and architects.

In return for your hard work and dedication, you will receive a competitive salary and benefits package, including health insurance, retirement savings plan, and paid time off.

If you are a motivated and experienced cybersecurity professional looking for a new challenge, please apply for this exciting opportunity.