OP
Linkedin · Posted 1mo ago
AI Engineer / Cloud Security Engineer
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Indexed description
We are looking for a highly skilled AI Engineer / Cloud Security Engineer to support secure enterprise AI initiatives and cloud-native security architecture. This role combines AI solution engineering with cloud security expertise, ensuring secure design, deployment, and governance of AI platforms across enterprise environments. The ideal candidate will have strong experience across cloud security, DevSecOps, AI/ML environments, and modern enterprise security frameworks.
Key Responsibilities
- Design and support secure AI/ML and GenAI platform implementations.
- Drive cloud security architecture across AWS, Azure, and/or GCP environments.
- Implement security controls across AI pipelines, MLOps, and CI/CD workflows.
- Support Zero Trust, DevSecOps, and enterprise security best practices.
- Identify and mitigate AI-related security risks, including model misuse, prompt injection, and data security risks.
- Partner with engineering and architecture teams to ensure secure cloud deployments.
- Support compliance with enterprise security standards and governance frameworks.
- Improve automation and security posture across cloud and AI environments.
- Strong cloud security experience across AWS, Azure, or GCP.
- Experience with AI/ML platform security and secure AI implementation.
- Knowledge of DevSecOps, CI/CD security, and infrastructure security.
- Strong understanding of Zero Trust architecture and security frameworks.
- Experience with enterprise cybersecurity standards (NIST, ISO, OWASP, etc.).
- Strong architecture and stakeholder communication skills.
- Ability to support both strategy and hands-on technical execution.
- Security certifications (CISSP, CCSP, AWS Security, Azure Security, etc.).
- Experience with MLOps and enterprise AI governance.
- Experience in regulated enterprise environments.
- 401(k).
- Dental Insurance.
- Health insurance.
- Vision insurance.
- We are an equal opportunity employer and value diversity, equality, inclusion, and respect for people.
- The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
- Participate in OP monthly team meetings, and participate in team-building efforts.
- Contribute to OP technical discussions, peer reviews, etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
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