Principal Cloud Security Architect

Irvine, CA - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Are you a visionary leader ready to redefine the future of cloud security We re looking for a Principal Cloud Security Architect to spearhead our organization s journey toward a secure innovative and future-proof cloud this strategic role you will collaborate seamlessly with Infrastructure Development and Data/AI teams to design and execute state-of-the-art security strategies that drive digital transformation safeguard critical assets and accelerate platform adoption. Your leadership will be instrumental in shaping resilient scalable cloud and AI-powered solutions that empower business growth while maintaining the highest standards of security and integrity.

Key Responsibilities Include:

Defining cloud and AI security architecture patterns and standards based on industry best practices.
Collaborating with domain architects data scientists and lead security engineers to design and implement security controls across cloud data and AI/ML systems aligned with enterprise frameworks.
Driving security governance across multi-cloud and AI/ML platforms ensuring secure deployment operation and monitoring of applications and models.
Applying deep expertise in cloud security AI/ML security network architecture system hardening and observability to lead technical operations teams in the containment and remediation of security incidents.
Supporting incident response efforts including AI/ML-specific threats (model compromise data poisoning adversarial attacks) ensuring lessons learned are incorporated into future architecture.
This role requires a strong combination of strategic vision technical expertise and cross-functional leadership to deliver scalable secure and compliant cloud and AI-enabled solutions across the enterprise.

Key Responsibilities:

Cloud & AI Security Strategy & Architecture
- Lead the development of cloud and AI security architecture strategy including frameworks standards guidelines and procedures for infrastructure software and machine learning systems.
- Design solutions that integrate industry-standard frameworks (e.g. NIST 800-53 ISO 27002 SABSA) along with emerging AI security frameworks (e.g. NIST AI RMF OWASP Top 10 for LLMs) into enterprise architecture.
- Define and maintain security roadmaps guiding adoption of secure cloud data platforms and AI/ML technologies (GenAI LLMs predictive models).
- Act as a senior security advisor to architecture committees guiding secure AI adoption model governance and ethical AI practices.
- Partner with application infrastructure DevOps and Data/AI teams to implement secure MLOps and LLMOps pipelines aligned with enterprise controls.
- Advocate for secure-by-design and responsible AI principles including fairness explainability and accountability.
Risk & Threat Management
- Lead cloud and AI security risk assessments identifying vulnerabilities across infrastructure data pipelines and ML models.
- Establish and maintain an enterprise threat management program including AI-specific threat modeling (e.g. model inversion prompt injection data leakage).
- Integrate AI threat intelligence and anomaly detection into SOC operations.
- Assist Security Operations in incident response including AI/ML attack vectors ensuring continuous improvement of detection and response mechanisms.
Secure Development AI/ML Security & Data Protection
- Build and maintain the Secure Software Development Lifecycle (SSDLC) and extend it to Secure ML Lifecycle (SMLC) practices.
- Define and enforce secure MLOps practices including model validation versioning monitoring and rollback mechanisms.
- Oversee secure handling of training data feature stores and model artifacts ensuring protection against data leakage and poisoning.
- Implement controls for LLM usage including prompt security output filtering and sensitive data protection.
- Lead enterprise data protection initiatives including privacy-preserving AI techniques (e.g. differential privacy anonymization encryption).
Technology Enablement & Vendor Management
- Evaluate and lead proof-of-concepts for cloud and AI security technologies (e.g. model security tools AI observability platforms LLM guardrails).
- Assess third-party AI/ML platforms and vendors for security privacy and compliance risks.
- Stay current with evolving cloud cybersecurity and AI threat landscapes to guide innovation and investment decisions.
- Mentor teams on AI security best practices secure architecture patterns and emerging risks.

Education:

A bachelor s degree in Computer Science Engineering or a related technical field is required.

Experience:

15 years of progressive experience in Information Security and Risk Management including:
Minimum 5 years in Security Architecture with deep involvement in strategic design and implementation.
Minimum 5 years working in cloud environments (IaaS PaaS SaaS) across platforms such as AWS Azure or GCP.
Demonstrated experience or strong exposure to AI/ML security MLOps or data security in AI-driven environments.
Proven experience managing complex cloud and AI-enabled security initiatives across enterprise environments.
Strong communication and leadership skills with the ability to influence executive management and technical stakeholders.

Technical Expertise:

Deep understanding of cloud-native and AI security principles including:
Cloud Architecture & Networking
Identity & Access Management (IAM)
CI/CD & MLOps/LLMOps Security
Secrets Management & Data Protection
Logging Detection and Incident Response
Container & Kubernetes Security
AI/ML Security Concepts including:
Model security (theft tampering inversion)
Adversarial machine learning
Prompt injection and LLM vulnerabilities
Data poisoning and data lineage risks
AI model monitoring and drift detection

Frameworks & Standards:

CIS Benchmarks Cloud Security Alliance (CSA)
NIST SP standards (etc.)
NIST AI Risk Management Framework (AI RMF)
OWASP Top 10 for LLM Applications
Privacy and regulatory frameworks (GDPR HIPAA PCI-DSS etc.)

Demonstrated Success In:

Leading enterprise-scale security programs (SOC DLP SSDLC IAM AI governance)
Architecting Zero Trust models across cloud and AI ecosystems
Designing and implementing secure AI adoption strategies and governance frameworks
Advising on compliance privacy and ethical AI practices

Additional Experience:

Experience with SD-WAN IoT Wireless Networking and AI/GenAI platforms
Strong background in risk assessment gap analysis and cybersecurity program development
Hands-on experience with incident response including AI-related threat scenarios
Proficiency in scripting automation and API integrations
Experience working with Security Engineering SOC or Forensics teams

Certifications (Preferred):

CISSP CISM GIAC CEH GCIH GCFE GXPN CISSP-ISSAP SABSA or equivalent AI-focused certifications (nice to have):
- Certified AI Security / ML Security certifications.
- Cloud provider AI/ML specialty certifications.

Benefits:

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.

Additional Responsibilities:

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.

About us:
At OP we help you harness the power of technology for maximum impact. A technology consulting and solutions company we offer advisory and managed services innovative platforms and staffing solutions across a wide range of fields including AI cyber security enterprise architecture and beyond. For nearly two decades we ve been challenging the status quo of the consulting industry serving up fresh ingenious thinking through a radically lean structure. Together this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.