Vertex

Biotechnology

AssociateDirector,AI&ApplicationSecurity

$172–258k Boston, Massachusetts, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“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.

Biotechnology
Problems you'll solve

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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