Staff AI Security Architect
About The Position
Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. What We’re Looking For As a Staff AI Security Architect at Datavant, you will lead the design, evolution, and adoption of secure by design principles across our AI and Machine Learning (ML) systems. This role sits at the intersection of AI innovation and security architecture. You will define and operationalize AI security strategy, embed security into the AI/ML development lifecycle, and partner deeply with data science, engineering, product, legal, and compliance teams to ensure our AI systems are secure, trustworthy, and scalable.
Requirements
- 8+ years of experience in security architecture, application security, or product security, with meaningful focus on AI/ML systems.
- Hands-on experience securing AI/ML or LLM-based systems, including familiarity with modern AI architectures and agentic workflows.
- Strong understanding of AI threat models, including adversarial ML, prompt injection, data poisoning, model theft, and abuse scenarios.
- Proven ability to design and influence security architectures for large-scale, distributed systems.
- Strong communication skills with the ability to translate complex technical concepts to both technical and non-technical stakeholders.
- Have a strong understanding of security controls, both those that exist in audit standards as well as practical controls that can help reduce risk and increase safety.
Nice To Haves
- Hands-on experience building, testing, or tinkering with agentic AI workflows, with an understanding of the security risks they introduce.
- Experience securing AI/ML workloads in Databricks, with a deep understanding of its platform-specific security risks.
- You have experience with security in healthcare or other highly regulated space. Examples: HIPAA, HITRUST, SOC 2, PCI, FedRamp experience from an operational response standpoint.
Responsibilities
- Establish AI security architectural standards, design patterns, and best practices adopted across engineering teams.
- Architect and advise on secure end-to-end AI systems, including data pipelines, model training, evaluation, deployment, runtime monitoring, and agentic workflows.
- Lead threat modeling, architecture reviews, and risk assessments for AI-driven products, including LLMs, agent frameworks, and multi-agent systems.
- Define and evolve a comprehensive AI/ML secure development lifecycle integrated into existing SDLC practices.
- Develop reference architectures, documentation, and reusable security components to accelerate secure AI adoption.
- Collaborate with legal, privacy, compliance, and responsible AI stakeholders to align security controls with regulatory and ethical requirements.
- Act as a trusted advisor to senior leadership on AI security risks, trade-offs, and long-term strategy.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
