Principal Architect
Thank you for considering a career at Ensemble!
Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.E Purpose:
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Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
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Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
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Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
The Opportunity:
About the Role
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
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Define the end-to-end security architecture for AI/ML systems, including training pipelines, inference infrastructure, model storage, and APIs.
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Develop and maintain a threat model for AI-specific attack surfaces: model poisoning, adversarial inputs, prompt injection, model inversion, and supply chain risks.
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Lead design reviews for high-impact systems, setting standards for secure-by-default AI development.
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Own the AI security roadmap, aligning it with product goals, compliance requirements, and industry best practices.
Technical Leadership
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Serve as an authority on AI security decisions across engineering, product, and research teams.
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Partner with ML engineers to embed security controls throughout the model lifecycle — from data ingestion to deployment and monitoring.
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Drive adoption of zero-trust principles, least-privilege access, and defense-in-depth across AI infrastructure.
Governance & Compliance
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Translate evolving AI-specific regulations (NIST AI RMF) into actionable architectural requirements.
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Partner with legal, privacy, and compliance teams to ensure AI systems meet internal policies and external obligations.
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Produce executive-ready security assessments, risk summaries, and mitigation plans.
Cross-Functional Collaboration
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Act as a bridge between security, platform engineering, data science, and product management.
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Represent the organization in external forums, customer security reviews, and industry working groups.
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Contribute to open-source tooling, publications, or speaking engagements to build the organization's credibility in AI security.
What You'll Bring
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12+ years of experience in information security, with at least 5 years focused on cloud or platform architecture.
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Deep hands-on expertise in securing ML/AI systems, including LLMs, training pipelines, and model serving infrastructure.
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Demonstrated experience with AI-specific threat vectors: adversarial ML, data poisoning, model extraction, and prompt injection.
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Proficiency in cloud security (AWS, Azure, or GCP) including IAM, network segmentation, secrets management, and audit logging.
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Strong background in applicat