Vertex
Biotechnology
AssociateDirector,AI&ApplicationSecurity
Neural analysis suggests this role is
optimal for Director candidates.
“Associate Director, AI & Application Security at Vertex. Skills: AI security, Application security, Cloud security, Generative AI. Lead AI and application security across the full. Define and evolve security standards, guardrails, and control”
Industry & Context.
Risk-based guidance
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Information Security, Engineering, or related field or equivalent experience, Significant experience in application security, product security, cloud security, or related cybersecurity discipline, Deep knowledge of application security fundamentals and secure software development practices, Experience securing APIs, platforms, and complex distributed systems, Experience leading threat modeling, architecture reviews, and risk-based security assessments, Experience applying security and risk frameworks in engineering environments, Demonstrated ability to partner effectively with engineering and platform teams to embed security into design and delivery processes, Excellent communication and influence skills
Nice to Have
Experience securing cloud environments, particularly Azure and familiarity with GCP is a plus, Experience securing generative AI applications, agentic workflows, or machine learning-enabled services, Experience defining AI guardrails and monitoring strategies at scale, Experience working in biopharmaceutical or other GxP-regulated environments with privacy and data protection requirements
What You'll Do.
Lead AI and application security across the full
Define and evolve security standards
Apply and operationalize security frameworks and control models
Secure AI workloads and AI-enabled applications across cloud
Lead threat modeling and misuse-case analysis for AI
Define and mature AI guardrails
Establish secure development expectations for AI-enabled applications and
Build and lead application security testing practices
Partner with Cloud Security
Influence architecture and platform decisions
and recommendations clearly
How You'll Work.
Team & Collaboration
Partner with technical and business stakeholders; Partner with Cloud Security, Security Operations, Privacy, Legal, Data Science, and Engineering teams
Communication Scope
Communicate risks; Communicate tradeoffs; Communicate recommendations
Full Job Description
**Job Description** ** _This is a hybrid position that requires 3 days a week in our Boston office_** Vertex is seeking an Associate Director, AI & Application Security to lead security for AI-enabled applications, platforms, and services across the enterprise. This role is responsible for securing AI throughout the full lifecycle—from design and development to deployment and ongoing operations—including generative AI, agentic workflows, traditional machine learning, and AI embedded in enterprise applications. This leader will help define how Vertex securely adopts and scales AI across Azure, AWS, and GCP, as well as third-party and foundation model platforms such as Microsoft Copilot / Azure OpenAI, Anthropic, Google Gemini, and AWS Bedrock. The role will partner closely with technical and business stakeholders to establish pragmatic guardrails, strengthen secure development practices, and reduce risk without slowing innovation. The ideal candidate brings deep expertise in cloud security and application security, along with strong judgment, technical credibility, and the ability to influence decisions in fast-moving, evolving environments. This role also requires practical experience applying security and risk frameworks relevant to AI and modern application environments. **Key Duties and Responsibilities** * Lead AI and application security across the full lifecycle of AI-enabled systems, from design and development through deployment and operations. * Define and evolve security standards, guardrails, and control expectations for AI systems used across Vertex. * Apply and operationalize industry-recognized security frameworks and control models, including: * NIST AI Risk Management Framework (AI RMF) * NIST Cybersecurity Framework (CSF) * OWASP Top 10 * OWASP Top 10 for LLM and Generative AI Applications * Secure AI workloads and AI-enabled applications across cloud and SaaS environments, with emphasis on: * policy enforcement * data protection * logging and telem
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