Senior Cloud Security Engineer
Climb Channel Solutions NA
AWSAzureCloudCyber SecurityGoogle Cloud Platform
Salary
💰 $170,000 - $210,000 per year
Job Level
SeniorLead
Tech Stack
AWSAzureCloudCyber SecurityGoogle Cloud Platform
About the role
- Define and lead the security architecture strategy for AI/ML systems, including LLMs, GenAI tools, and AI-driven features
- Partner with engineering and data science teams to secure the AI/ML pipeline (data ingestion, training, deployment, monitoring)
- Develop threat models for AI systems and implement mitigations against adversarial ML, data poisoning, model theft, and prompt injection
- Evaluate and advise on secure use of third-party AI tools, APIs, and model integrations
- Build policies, patterns, and guardrails for responsible and secure AI development in collaboration with GRC and Legal
- Guide the implementation of privacy-enhancing technologies and ensure regulatory compliance (e.g., GDPR, CPRA, ISO/IEC 42001)
- Conduct risk assessments on AI use cases and lead the remediation of identified security gaps
- Design, review, and secure architectures involving Model Context Protocol (MCP), ensuring a deep understanding of its lifecycle and security considerations to enable interoperability across AI systems while maintaining confidentiality, integrity, and availability
- Architect and secure agentic AI workflows, including autonomous or semi-autonomous multi-agent systems, to ensure safe decision-making, controlled execution of actions, and compliance with organizational policies
- Mentor engineers and architects on AI security principles and threat modeling
- Stay current on the evolving AI threat landscape, emerging standards, and attack techniques
- Contribute to interviewing and selecting new team members as requested
- Support and promote the company values through positive interactions with both internal and external stakeholders on a regular basis
- Other strategic business initiatives or special cross-functional project involvement as required.
Requirements
- Bachelor's degree in computer science, Data Science or relevant professional experience
- 10+ years of experience in cybersecurity architecture, with 2+ years focused on AI/ML systems or GenAI
- Deep knowledge of cloud-native security (AWS/GCP/Azure), data protection, identity, and application security
- Strong understanding of machine learning workflows, MLOps platforms, and model lifecycle management
- Familiarity with threats unique to AI/ML, including model inversion, data leakage, and hallucinations
- Experience with security frameworks and standards (e.g., NIST AI RMF, MITRE ATLAS, ISO 27001, ISO/IEC 42001)
- Proven ability to influence cross-functional teams and drive architectural decisions
- Hands-on experience designing, securing, or integrating Model Context Protocol (MCP) for AI system interoperability
- Experience architecting and securing solutions using Azure AI Services
- Excellent communication and documentation skills
- Interest and ability in mentoring and/or training other team members as applicable
- Experience working cross-functionally and promoting collaborative partnerships to drive results
- Proven ability to communicate effectively to various audiences/levels, both internal and external stakeholders, including leadership
- Strong Microsoft suite experience, including teams or similar web conferencing and internal communication software experience preferred
- Experience working in a fully remote team is preferred but not required
- Thorough understanding (or willingness to learn expeditiously) of business operations and processes
- Strong written and oral communication skills
- Proactively addresses challenges, seeking opportunities for continuous improvement
- Adept at troubleshooting in fast-paced environments and implementing corrective actions swiftly
