Senior AI Security Automation Engineer
Technology, Data & Digital · IT Infrastructure & Security · Cybersecurity · DevOps
In short
Synopsys is seeking a Senior AI Security Automation Engineer in Athens, Greece, to design, deploy, and integrate AI security technologies. This role involves building AI security agents, automating workflows, and securing cloud AI platforms like Azure AI Foundry and AWS Bedrock. The ideal candidate has 8+ years of cybersecurity experience and expertise in AI security concepts and automation.
Responsibilities
- Design, deploy, and integrate AI security technologies including LLM gateways, MCP gateways, prompt guardrails, AI firewalls, AI DLP controls, AI Security Posture Management platforms, and agentic AI security solutions
- Build cybersecurity-focused AI agents and automation workflows that improve risk analysis, executive visibility, security reviews, threat detection, posture management, and operational efficiency
- Develop high-level solution designs and technical architecture patterns for securing GenAI applications, LLM integrations, RAG pipelines, agentic workflows, and cloud-hosted AI services
- Own production deployment of AI security solutions from proof of concept and technical evaluation through architecture review, implementation, operational handoff, and continuous improvement
- Evaluate emerging AI, GenAI, LLM, agentic AI, and cybersecurity technologies including open-source tools, commercial platforms, cloud-native services, and infrastructure automation capabilities
- Deploy and manage AI security controls across cloud AI platforms such as Azure AI Foundry, AWS Bedrock, Microsoft Copilot Studio, and other enterprise AI environments
- Integrate identity and access controls for AI agents, workloads, gateways, and services using Microsoft Entra ID, workload identities, Conditional Access, Privileged Identity Management, and identity governance capabilities
- Design security patterns for agent identity, tool authorization, data access, least privilege, Zero Trust enforcement, and secure agent-to-system communication
- Integrate prompt guardrails, content safety controls, AI DLP, model governance, logging, monitoring, and policy enforcement into AI applications and enterprise AI platforms
- Conduct technical proof of concepts, architecture reviews, vendor evaluations, control validations, and technology selection activities for AI security capabilities
- Partner with cybersecurity, cloud, identity, infrastructure, application development, product security, and business technology teams to embed AI security controls into enterprise solutions
- Automate AI security workflows using Python, APIs, infrastructure automation, orchestration tools, and cloud-native services
- Support the development of reusable AI security patterns, reference architectures, deployment playbooks, and operational standards for enterprise-wide adoption
Requirements
- 8+ years of hands-on experience in cybersecurity engineering, security architecture, cloud security, application security, security automation, or related technical domains
- Experience evaluating and operationalizing emerging AI, GenAI, LLM, agentic AI, and cybersecurity technologies within large enterprise environments
- Hands-on experience deploying and managing open-source security tools, cloud-native services, commercial security platforms, and infrastructure automation solutions
- Strong understanding of AI security concepts including prompt injection, jailbreak risks, model governance, model security, agentic systems, data lineage, AI risk management, and secure AI design patterns
- Practical experience with LLM gateways, MCP gateways, prompt guardrails, AI firewalls, AI DLP, AI Security Posture Management, or related AI security technologies
- Experience with cloud AI platforms such as Azure AI Foundry, AWS Bedrock, Microsoft Copilot Studio, or similar enterprise AI and agentic AI platforms
- Strong understanding of Identity and Access Management, Zero Trust principles, authentication protocols, authorization models, privileged access, and enterprise identity architectures
- Experience with Microsoft Entra ID, Conditional Access, Privileged Identity Management, Identity Governance, Data Loss Prevention, service principals, managed identities, and workload identities
- Experience with Azure, AWS, or multi-cloud security architectures including identity, networking, data protection, monitoring, governance, and policy controls
- Strong proficiency in Python or similar scripting languages for automation, API integration, data processing, and security workflow development
- Experience conducting proof of concepts, technical evaluations, architecture reviews, control validation, vendor assessments, and technology selection initiatives
- Ability to create high-level designs, reference architectures, deployment plans, operational runbooks, and technical documentation
- Demonstrated ability to own solutions from concept through production deployment with minimal supervision
- Strong communication skills with the ability to explain complex AI security, identity, and cloud risks to technical and non-technical stakeholders
- Experience working cross-functionally with cybersecurity, cloud, infrastructure, application development, product, compliance, and vendor teams
Desired Qualifications
- Industry certification such as Security+, CEH, AWS/Azure AI and security (AZ-900: Microsoft Azure Fundamentals, AI-900: Microsoft Azure AI Fundamentals, Microsoft Cloud and AI Security Engineer Associate), or other relevant cybersecurity certifications is a plus
Benefits
- Comprehensive medical and healthcare plans
- ETO and FTO Programs
- Maternity and paternity leave, parenting resources, adoption and surrogacy assistance
- Purchase Synopsys common stock at a 15% discount, with a 24 month look-back
- Retirement plans that vary by region and country
- Competitive salaries
#AI Security#Automation#Engineering#Cybersecurity
Company
Synopsys Inc
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Senior
Locations
Athens, Greece
Applicants
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