AI Security Architect/Partner

Job Responsibilities

• 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 Machine Learning 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 stakeholders.
• Present AI security strategy, risk posture, and architectural recommendations to executive leadership, regulators, clients, and internal audit teams.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Security, Cybersecurity, Computer Engineering, or a related technical field, or equivalent practical experience.
• 10+ years of Information Security experience with deep expertise in enterprise security architecture.
• 5+ years designing enterprise security architectures across cloud-native and distributed environments.
• Proven experience securing Generative AI, LLMs, AI agents, Machine Learning platforms, and MLOps ecosystems.
• Strong knowledge of AI security principles, adversarial machine learning, AI governance, and model risk management.
• Experience performing AI threat modeling using MITRE ATLAS, OWASP Top 10 for LLM Applications, STRIDE, or equivalent methodologies.
• Expertise in AWS, Azure, or Google Cloud Platform security.
• Strong understanding of secure software development, DevSecOps, Kubernetes, containers, APIs, and cloud-native application security.
• Experience implementing enterprise Identity and Access Management (IAM), secrets management, encryption, and data protection strategies for AI and cloud environments.
• Experience conducting security architecture reviews, secure code reviews, and application security assessments.
• Working knowledge of NIST AI RMF, NIST CSF, ISO 27001, ISO 42001, CIS Controls, GDPR, and emerging AI regulations.
• Excellent communication and executive stakeholder management skills.
• Financial Services or FinTech experience is preferred.
• Professional certifications such as CISSP, CCSP, AWS Security Specialty, Azure Security Engineer, GIAC, SABSA, or AI Security certifications are desirable.

Additional Information

• Health Insurance: Highly competitive medical, dental, and vision programs.
• Hybrid Environment: Our employees have the flexibility of working in the office and from home.
• Health Care and Dependent Care Flexible Spending Accounts: You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members.
• Maven Family Building Benefit: Maven offers support for fertility and preconception; pregnancy and post-partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provide a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption and surrogacy expenses.
• Building Wealth - 401(k) Savings Plan: Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute.
• The current pay range for this role is currently $140,000 to $285,000 per year, based on a regular, full-time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, and internal guidelines.
• This role will also be eligible to participate in Tradeweb’s discretionary bonus program.
• This role is expected to remain open until 8/20/2026.