Principal Architect
Ensemble Health Partners3 months ago
Remote, United StatesStaff+
Base Salary
$149k - $223k/yr
Responsibilities
- Define and lead end-to-end security architecture for AI/ML platforms, products, training pipelines, inference infrastructure, model storage, and APIs.
- Develop and maintain threat models covering AI-specific attack surfaces such as model poisoning, adversarial inputs, prompt injection, model inversion, and supply chain risks.
- Lead high-impact design reviews and establish secure-by-default AI development standards.
- Own the AI security roadmap and align it with product goals, compliance requirements, and industry best practices.
- Serve as the technical authority for AI security decisions and mentor or influence engineering, product, research, platform, and data science teams.
- Embed security controls across the model lifecycle from data ingestion through deployment and monitoring.
- Drive zero-trust, least-privilege, and defense-in-depth adoption across AI infrastructure.
- Translate AI regulations and governance frameworks into architectural requirements and partner with legal, privacy, and compliance teams.
- Prepare security assessments, risk summaries, and mitigation plans for executives and stakeholders.
- Represent the organization in customer security reviews, external forums, and industry working groups, and contribute to publications, open-source tooling, or speaking engagements.
Requirements
- 12+ years of experience in information security, including at least 5 years focused on cloud or platform architecture.
- Deep hands-on expertise securing ML/AI systems, including LLMs, training pipelines, and model-serving infrastructure.
- Experience with AI-specific threats including adversarial machine learning, data poisoning, model extraction, and prompt injection.
- Proficiency in cloud security across AWS, Azure, or GCP, including IAM, network segmentation, secrets management, and audit logging.
- Strong background in application security, cryptography, and secure software development lifecycle practices.
- Experience leading architectural decisions in a large-scale engineering organization.
- Excellent written and verbal communication skills for explaining complex security risks to engineers and executives.
- Familiarity with the NIST AI RMF is preferred.
- Relevant certifications such as CISSP, CCSP, or cloud security specializations are preferred.
- Published research, conference talks, or open-source contributions in AI/ML security are preferred.
- Must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.
Benefits
- Remote position with travel and onsite work required as business needs require.
- Comprehensive benefits package including healthcare, time off, retirement, and well-being programs.
- Professional development support, including a relevant professional certification for each associate and tuition reimbursement.
- Quarterly and annual incentive programs for eligible employees.
- Collaborative culture focused on growth, innovation, and work-life flexibility.
Tech Stack
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