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Principal AI Cloud Security Architect

SpringCube

Full time - Principal Engineer

Healthcare Services & Tech

United States, Boston - Massachusetts

Published 5 hours ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading healthcare organization is committed to shaping a more connected, convenient, and compassionate health experience. The company focuses on leveraging innovative technology, including cloud computing and artificial intelligence, to deliver secure, high-quality healthcare solutions. The organization values collaboration, accountability, and continuous innovation while prioritizing safety and regulatory compliance across all operations.

Position Summary
The Principal AI Cloud Security Architect will lead efforts to secure AI-driven cloud environments, ensuring sensitive data is protected and systems comply with regulatory standards. The role requires designing, implementing, and managing advanced security solutions while collaborating with engineering, product, and compliance teams to drive secure-by-design practices across AI and cloud platforms.

Key Responsibilities

  • Design and implement security strategies for cloud-based AI systems
  • Conduct risk assessments and vulnerability analyses on AI models and cloud infrastructure
  • Develop and enforce security policies, standards, and best practices for AI and cloud environments
  • Monitor and respond to security incidents involving AI and cloud platforms
  • Collaborate with engineering teams to integrate security controls into AI workflows
  • Lead security audits and compliance reviews for cloud-based AI solutions
  • Evaluate and recommend security tools and technologies for AI and cloud applications
  • Train and mentor staff on AI security awareness and secure development practices
  • Stay current with emerging threats, vulnerabilities, and advancements in AI and cloud security
  • Report on security metrics, incidents, and improvements to senior leadership

Required Qualifications

  • 10+ years of progressive experience in information security focused on cloud and AI security
  • 5+ years designing cloud security architectures in enterprise environments
  • 5+ years hands-on experience securing production workloads in at least one major cloud platform (AWS, Azure, or GCP)
  • 3+ years direct experience securing AI, machine learning, or advanced data analytics platforms in cloud environments

Preferred Qualifications

  • Strong knowledge of security frameworks (NIST, ISO) and regulatory compliance
  • Experience conducting threat modeling and vulnerability assessments for AI systems
  • Executive-level communication and presentation skills, able to convey technical concepts to senior leaders in a nontechnical manner
  • Proven ability to lead cross-functional teams and projects
  • Relevant certifications such as CISSP, CCSP, or equivalent preferred

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.