AI Security Architect/Partner

About the Role The Enterprise AI Security Architect role at Tradeweb Markets is a strategic, advisory position responsible for defining the AI security strategy, governance framework, and security architecture roadmap. As part of the information security team, you will partner with engineering, DevSecOps, cloud, and data science to embed security across AI development and deployment. What You'll Do

• Serve as the enterprise AI Security Architect and trusted advisor for AI initiatives across the organization.
• Define and execute the enterprise AI security strategy, governance framework, and security architecture roadmap.
• Design secure reference architectures for Generative AI, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and ML platforms.
• Establish secure-by-design principles and AI security controls across the AI/ML lifecycle.
• Perform end-to-end AI security architecture reviews for AI platforms, cloud environments, APIs, and enterprise applications.
• Conduct AI threat modeling using MITRE ATLAS, OWASP Top 10 for LLM Applications, STRIDE, and attack simulation techniques.
• Define and implement security controls to mitigate AI-specific threats including prompt injection, model poisoning, adversarial attacks, data leakage, model theft, insecure plugins, excessive agency, and supply chain risks.
• Develop security standards for AI infrastructure, model lifecycle management, secure MLOps, model governance, and AI deployment pipelines.
• Partner with engineering, DevSecOps, cloud, and data science teams to embed security throughout AI development and deployment.
• Provide architectural guidance for AI identity and access management, secrets management, data protection, encryption, and privileged access management.
• Lead enterprise AI cyber risk assessments and influence technology investment decisions involving AI adoption.
• Develop AI security blueprints, reference architectures, policies, and governance frameworks aligned with industry standards.
• Drive remediation strategies for AI security vulnerabilities and mentor engineering teams on secure implementation practices.
• Collaborate with legal, privacy, compliance, audit, and risk teams to ensure responsible AI practices and regulatory compliance.
• Build strong partnerships with infrastructure, application development, cloud engineering, and business units to scale secure AI. What We're Looking For
• 10+ years information security experience.
• 5+ years enterprise architecture.
• Experience securing Generative AI/LLMs and MLOps.
• AI threat modeling experience.
• Cloud security experience (AWS/Azure/GCP).
• Strong communication and stakeholder management.
• Proficiency with security design methodologies and tools such as MITRE ATLAS, OWASP Top 10 for LLM Applications, STRIDE, AWS, Azure, Google Cloud Platform, Kubernetes, and MLOps. Compensation & Benefits
• Salary: $140,000 - $285,000 per year (USD).
• Remote work option; full-time employment.
• ... (Other benefits not specified in posting).