Principal Architect (AI Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Architect (AI Security): Defining and leading the security architecture strategy for AI platforms and infrastructure with an accent on adversarial ML, model integrity, and secure-by-default development. Focus on building resilient, trustworthy AI systems while ensuring compliance with evolving industry standards like NIST AI RMF.
Location: Remote (USA); must be willing and able to travel to client or corporate office locations as business needs require.
Salary: $148,800–$223,200
Company
A leading provider of technology-enabled revenue cycle management solutions for health systems across the United States.
What you will do
- Define end-to-end security architecture for AI/ML systems, including training pipelines and inference infrastructure.
- Develop threat models for AI-specific attack surfaces such as model poisoning, prompt injection, and model inversion.
- Lead design reviews and establish standards for secure-by-default AI development.
- Partner with ML engineers to embed security controls throughout the model lifecycle.
- Translate AI-specific regulations like NIST AI RMF into actionable architectural requirements.
- Act as a technical authority bridging security, platform engineering, and product management teams.
Requirements
- Must be based in the United States and willing to travel for business needs.
- 12+ years of experience in information security, with 5+ years in cloud or platform architecture.
- Deep expertise in securing ML/AI systems, including LLMs and training pipelines.
- Proficiency in cloud security (AWS, Azure, or GCP) and application security.
- Strong understanding of AI-specific threat vectors and secure software development lifecycles.
- Excellent communication skills for explaining complex security risks to executive leadership.
Nice to have
- Familiarity with NIST AI RMF governance frameworks.
- Relevant certifications such as CISSP or CCSP.
- Published research, conference talks, or open-source contributions in AI/ML security.
Culture & Benefits
- Comprehensive healthcare, retirement, and well-being programs.
- Investment in professional development, including certification support and tuition reimbursement.
- Quarterly and annual incentive programs for high performance.
- Collaborative, innovation-focused culture with work-life flexibility.
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