AI and Cloud Security Engineer in Little Switzerland, North Carolina at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI and Cloud Security Engineer based in Switzerland.

We are seeking a highly skilled security engineer to design, implement, and operate advanced security controls across AI platforms and multi-cloud environments.
This role focuses on protecting emerging AI technologies by building runtime security capabilities, improving threat detection, and strengthening cloud security architectures.
You will play a key role in securing AI applications, infrastructure, and data while helping organizations adopt AI safely at scale.
The position combines hands-on engineering, automation, incident response, and strategic security initiatives across Azure, AWS, and GCP environments.
You will collaborate with security leaders, architects, developers, and operations teams in a globally distributed environment.
This is an opportunity for a security professional passionate about AI innovation, cloud protection, and building next-generation cybersecurity solutions.

• Design, build, and operate AI security runtime controls, including AI gateways, data protection mechanisms, intent-based enforcement, and security monitoring capabilities across AI platforms.
• Develop and maintain security solutions protecting AI interactions, large language models, agent workflows, tools, and model-based applications across multiple cloud environments.
• Configure and optimize AI security policies, including prompt injection prevention, jailbreak protection, PII detection, data masking, tool validation, and agent access controls.
• Continuously improve security defenses by analyzing adversarial testing results, updating detection logic, and tuning runtime policies to reduce risks while maintaining usability.
• Act as a senior escalation point for complex AI security incidents, including prompt injection attacks, data exfiltration, agent manipulation, RAG poisoning, and model-related threats.
• Perform advanced investigations, root-cause analysis, and security response activities while supporting automated containment strategies.
• Evaluate and integrate AI security technologies through technical assessments, proofs of concept, and vendor evaluations.
• Engineer and maintain cloud security controls across Azure, AWS, and GCP, including security posture management, identity controls, Kubernetes security, and workload protection.
• Implement secure cloud architectures following zero-trust principles, least-privilege access models, and strong identity governance practices.
• Embed security into DevSecOps processes through Infrastructure-as-Code scanning, container security, secrets management, CI/CD security controls, and automated testing.
• Support vulnerability management activities across cloud workloads, containers, and applications while providing technical guidance for risk remediation.

• Significant hands-on experience in cybersecurity engineering, with strong expertise in cloud security across Azure, AWS, and/or GCP environments.
• Proven experience securing or operating AI, machine learning, or LLM-based systems, with strong understanding of emerging AI security risks.
• Deep knowledge of AI security concepts, including LLM and agent security threats, prompt injection defenses, RAG security, AI guardrails, MCP security, AI-SPM, AIDR, and AI red-team methodologies.
• Experience integrating enterprise security platforms, including API integrations, log ingestion, SIEM/SOAR connections, and multi-tool security architectures.
• Strong knowledge of cloud security practices, including CSPM/CWPP/CNAPP solutions, cloud identity management, Kubernetes security, containers, and secure architecture patterns.
• Proficiency in Python, PowerShell, KQL, Infrastructure-as-Code security, Terraform, and CI/CD security automation.
• Experience operating security solutions in complex enterprise environments and acting as a senior escalation point for security incidents.
• Familiarity with DevSecOps practices, vulnerability management, and secure software delivery processes.
• Strong understanding of zero-trust principles, identity governance, privileged access management, and secure AI platform integrations.
• Excellent communication skills with the ability to explain complex security concepts and trade-offs to technical teams and leadership.
• Ability to work effectively in a fast-paced, global, and collaborative environment.
• Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or equivalent practical experience.
• Relevant certifications such as CISSP, CCSP, SC-100, AZ-500, AWS Certified Security Specialty, Google Professional Cloud Security Engineer, or AI security certifications are advantageous.

• Flexible remote work environment with opportunities to collaborate with global security teams.
• Competitive benefits package tailored to local market and personal needs.
• Professional development opportunities through leadership programs, certifications, and online learning resources.
• Access to training and career growth programs designed to support long-term professional development.
• Well-being initiatives supporting financial, physical, and mental health.
• Inclusive workplace culture focused on diversity, collaboration, and equal opportunities.
• Opportunities to participate in global communities, employee initiatives, and social impact programs.
• Exposure to cutting-edge AI security technologies and large-scale cloud environments.
• Opportunity to influence cybersecurity strategies and contribute to innovative security solutions.
• Dynamic international environment with collaboration across multiple regions and technical teams.