[Hiring] Principal Architect @Ensemble Health Partners

Role Description

As Principal Architect for AI Security, you will define and lead the security architecture strategy for our AI platform, products, and infrastructure. This is a rare opportunity to shape how a fast-moving organization thinks about security at the intersection of machine learning, cloud infrastructure, and product delivery. You will operate as a technical authority — influencing roadmap, mentoring senior engineers, and partnering with leadership to ensure our AI systems are trustworthy, resilient, and defensible.

What You'll Do

• Architecture & Strategy
  • Define the end-to-end security architecture for AI/ML systems, including training pipelines, inference infrastructure, model storage, and APIs.
  • Develop and maintain a threat model for AI-specific attack surfaces: model poisoning, adversarial inputs, prompt injection, model inversion, and supply chain risks.
  • Lead design reviews for high-impact systems, setting standards for secure-by-default AI development.
  • Own the AI security roadmap, aligning it with product goals, compliance requirements, and industry best practices.
• Technical Leadership
  • Serve as an authority on AI security decisions across engineering, product, and research teams.
  • Partner with ML engineers to embed security controls throughout the model lifecycle — from data ingestion to deployment and monitoring.
  • Drive adoption of zero-trust principles, least-privilege access, and defense-in-depth across AI infrastructure.
• Governance & Compliance
  • Translate evolving AI-specific regulations (NIST AI RMF) into actionable architectural requirements.
  • Partner with legal, privacy, and compliance teams to ensure AI systems meet internal policies and external obligations.
  • Produce executive-ready security assessments, risk summaries, and mitigation plans.
• Cross-Functional Collaboration
  • Act as a bridge between security, platform engineering, data science, and product management.
  • Represent the organization in external forums, customer security reviews, and industry working groups.
  • Contribute to open-source tooling, publications, or speaking engagements to build the organization's credibility in AI security.

Qualifications

• 12+ years of experience in information security, with at least 5 years focused on cloud or platform architecture.
• Deep hands-on expertise in securing ML/AI systems, including LLMs, training pipelines, and model serving infrastructure.
• Demonstrated experience with AI-specific threat vectors: adversarial ML, data poisoning, model extraction, and prompt injection.
• Proficiency in cloud security (AWS, Azure, or GCP) including IAM, network segmentation, secrets management, and audit logging.
• Strong background in application security, cryptography, and secure software development lifecycle (SSDLC).
• Experience leading architectural decisions in a large-scale engineering organization.
• Excellent written and verbal communication — you can explain complex security risks to both engineers and executives.

Preferred

• Familiarity with AI governance frameworks: NIST AI RMF.
• Relevant certifications such as CISSP, CCSP, or cloud security specializations.
• Published research, conference talks, or open-source contributions in AI/ML security.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
• Professional development investment, including earning a professional certification relevant to your field and tuition reimbursement.
• Quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.