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Senior AI Security Automation Engineer
at Synopsys
Tech LeadNo visa sponsorshipCybersecurity
Posted 19 hours ago
No clicks
- Compensation
- Not specified
- City
- Country
- Greece
Currency: Not specified
**Senior AI Security Automation Engineer** drives artificial intelligence security advancements in Greece. Builds and automates AI/ML security systems, required 7+ years' experience in AI/ML security. Proficient in Python, TensorFlow, PyTorch, and familiar with CI/CD pipelines. Experience with security tools like OWASP ZAP, Burp Suite, and Nmap. Leads cross-functional teams, influences decisions. Data-driven approach, excellent problem-solving skills necessary. Join our dynamic engineering team, foster innovation.
We Are
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
You Are
You are a senior security engineer who understands that AI is rapidly changing how enterprises operate, how developers build, and how attackers think. Securing AI means protecting prompts, agents, identities, data flows, model interactions, gateways, RAG pipelines, and the broader ecosystem connecting users, applications, tools, and sensitive enterprise data. You have hands-on experience evaluating and operationalizing emerging AI, GenAI, LLM, agentic AI, and cybersecurity technologies in large enterprise environments. You can take a new AI security technology, assess whether it has real value, build a proof of concept, identify integration challenges, and determine production readiness.
Working across cloud AI platforms like Azure AI Foundry, AWS Bedrock, and Microsoft Copilot Studio is familiar territory. You understand how AI agents authenticate, access data, call tools, and create new security risks when identity, authorization, and guardrails are not properly designed. You do not stop at recommendations. You build, deploy, integrate, monitor, and improve solutions that help defend against emerging AI-driven threats.
What You'll Be DoingDesign, deploy, and integrate AI security technologies including LLM gateways, MCP gateways, prompt guardrails, AI firewalls, AI DLP controls, and AI Security Posture Management platforms Build cybersecurity-focused AI agents and automation workflows that improve risk analysis, executive visibility, security reviews, and threat detection Develop 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 through implementation, operational handoff, and continuous improvement Evaluate emerging AI, GenAI, LLM, agentic AI, and cybersecurity technologies including open-source tools, commercial platforms, and cloud-native services Deploy and manage AI security controls across Azure AI Foundry, AWS Bedrock, Microsoft Copilot Studio, and other enterprise AI environments Integrate identity and access controls for AI agents, workloads, and gateways using Microsoft Entra ID, workload identities, Conditional Access, and Privileged Identity Management
The Impact You Will HaveBuild the technical foundation for secure enterprise AI adoption by deploying controls that protect users, data, models, agents, and AI-enabled applications Strengthen defense against emerging AI threats including prompt injection, data leakage, model misuse, agent manipulation, and unauthorized data exposure Enable cybersecurity teams to leverage AI for automation, risk analysis, posture visibility, and executive reporting Improve enterprise readiness for agentic AI by establishing secure patterns for identity, access control, data protection, and monitoring Accelerate safe AI adoption by providing scalable guardrails that allow teams to innovate without bypassing critical security controls Shape the AI security technology stack by evaluating, selecting, and operationalizing platforms that will support enterprise AI security for years to come
What You'll Need8+ years of hands-on experience in cybersecurity engineering, security architecture, cloud security, application security, or security automation Experience evaluating and operationalizing emerging AI, GenAI, LLM, agentic AI, and cybersecurity technologies within large enterprise environments Strong understanding of AI security concepts including prompt injection, jailbreak risks, model governance, agentic systems, data lineage, and secure AI design patterns Practical experience with LLM gateways, MCP gateways, prompt guardrails, AI firewalls, AI DLP, or AI Security Posture Management technologies Experience with cloud AI platforms such as Azure AI Foundry, AWS Bedrock, Microsoft Copilot Studio, or similar enterprise AI platforms Strong understanding of Identity and Access Management, Zero Trust principles, authentication protocols, and enterprise identity architectures Strong proficiency in Python or similar scripting languages for automation, API integration, and security workflow development
Who You AreYou are a builder, not just an advisor. You can take an emerging AI security concept, turn it into a working design, validate it in a proof of concept, and drive it into production You are comfortable working in areas where the technology is still evolving. You use strong engineering judgment, security principles, and practical testing to make informed decisions You understand that identity is central to AI security. You know that every AI agent, workload, and gateway needs the right identity, the right permissions, the right data boundaries, and the right monitoring You can evaluate a new AI security vendor and quickly determine whether the product solves a real security problem, integrates with enterprise platforms, and can operate at production scale You can work across architecture, engineering, deployment, and operations. You are equally comfortable whiteboarding a design, writing automation scripts, reviewing access models, and explaining risk to leadership
The Team You'll Be Part Of
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.
Rewards and Benefits
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
#LI-Hybrid
Senior AI Security Automation Engineer
at Synopsys
Back to all Cybersecurity jobs
S
Industry not specified
Senior AI Security Automation Engineer
at Synopsys
Tech LeadNo visa sponsorshipCybersecurity
Posted 19 hours ago
No clicks
- Compensation
- Not specified
- City
- Country
- Greece
Currency: Not specified
**Senior AI Security Automation Engineer** drives artificial intelligence security advancements in Greece. Builds and automates AI/ML security systems, required 7+ years' experience in AI/ML security. Proficient in Python, TensorFlow, PyTorch, and familiar with CI/CD pipelines. Experience with security tools like OWASP ZAP, Burp Suite, and Nmap. Leads cross-functional teams, influences decisions. Data-driven approach, excellent problem-solving skills necessary. Join our dynamic engineering team, foster innovation.
We Are
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
You Are
You are a senior security engineer who understands that AI is rapidly changing how enterprises operate, how developers build, and how attackers think. Securing AI means protecting prompts, agents, identities, data flows, model interactions, gateways, RAG pipelines, and the broader ecosystem connecting users, applications, tools, and sensitive enterprise data. You have hands-on experience evaluating and operationalizing emerging AI, GenAI, LLM, agentic AI, and cybersecurity technologies in large enterprise environments. You can take a new AI security technology, assess whether it has real value, build a proof of concept, identify integration challenges, and determine production readiness.
Working across cloud AI platforms like Azure AI Foundry, AWS Bedrock, and Microsoft Copilot Studio is familiar territory. You understand how AI agents authenticate, access data, call tools, and create new security risks when identity, authorization, and guardrails are not properly designed. You do not stop at recommendations. You build, deploy, integrate, monitor, and improve solutions that help defend against emerging AI-driven threats.
What You'll Be DoingDesign, deploy, and integrate AI security technologies including LLM gateways, MCP gateways, prompt guardrails, AI firewalls, AI DLP controls, and AI Security Posture Management platforms Build cybersecurity-focused AI agents and automation workflows that improve risk analysis, executive visibility, security reviews, and threat detection Develop 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 through implementation, operational handoff, and continuous improvement Evaluate emerging AI, GenAI, LLM, agentic AI, and cybersecurity technologies including open-source tools, commercial platforms, and cloud-native services Deploy and manage AI security controls across Azure AI Foundry, AWS Bedrock, Microsoft Copilot Studio, and other enterprise AI environments Integrate identity and access controls for AI agents, workloads, and gateways using Microsoft Entra ID, workload identities, Conditional Access, and Privileged Identity Management
The Impact You Will HaveBuild the technical foundation for secure enterprise AI adoption by deploying controls that protect users, data, models, agents, and AI-enabled applications Strengthen defense against emerging AI threats including prompt injection, data leakage, model misuse, agent manipulation, and unauthorized data exposure Enable cybersecurity teams to leverage AI for automation, risk analysis, posture visibility, and executive reporting Improve enterprise readiness for agentic AI by establishing secure patterns for identity, access control, data protection, and monitoring Accelerate safe AI adoption by providing scalable guardrails that allow teams to innovate without bypassing critical security controls Shape the AI security technology stack by evaluating, selecting, and operationalizing platforms that will support enterprise AI security for years to come
What You'll Need8+ years of hands-on experience in cybersecurity engineering, security architecture, cloud security, application security, or security automation Experience evaluating and operationalizing emerging AI, GenAI, LLM, agentic AI, and cybersecurity technologies within large enterprise environments Strong understanding of AI security concepts including prompt injection, jailbreak risks, model governance, agentic systems, data lineage, and secure AI design patterns Practical experience with LLM gateways, MCP gateways, prompt guardrails, AI firewalls, AI DLP, or AI Security Posture Management technologies Experience with cloud AI platforms such as Azure AI Foundry, AWS Bedrock, Microsoft Copilot Studio, or similar enterprise AI platforms Strong understanding of Identity and Access Management, Zero Trust principles, authentication protocols, and enterprise identity architectures Strong proficiency in Python or similar scripting languages for automation, API integration, and security workflow development
Who You AreYou are a builder, not just an advisor. You can take an emerging AI security concept, turn it into a working design, validate it in a proof of concept, and drive it into production You are comfortable working in areas where the technology is still evolving. You use strong engineering judgment, security principles, and practical testing to make informed decisions You understand that identity is central to AI security. You know that every AI agent, workload, and gateway needs the right identity, the right permissions, the right data boundaries, and the right monitoring You can evaluate a new AI security vendor and quickly determine whether the product solves a real security problem, integrates with enterprise platforms, and can operate at production scale You can work across architecture, engineering, deployment, and operations. You are equally comfortable whiteboarding a design, writing automation scripts, reviewing access models, and explaining risk to leadership
The Team You'll Be Part Of
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.
Rewards and Benefits
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
#LI-Hybrid
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