Vice President, AI Security Engineer – AI Platforms & Products / Wilmington, DE

BlackRock • Wilmington, DE

3d • $138,000 - $186,500 • Hybrid

About The Position

As a member of BlackRock’s Product Security Engineering organization, the AI Security Engineer will focus on securing AI‑enabled systems across both internal enterprise platforms and customer‑facing products. This includes LLM‑powered applications, agent‑based workflows, retrieval‑augmented generation (RAG) pipelines, and tool‑driven integrations. In this role, you will conduct hands‑on security testing, threat modeling, and security design reviews for AI systems, while also building practical security tooling and guardrails that integrate directly into engineering workflows and CI/CD pipelines. You will work closely with AI platform teams, product engineers, and security partners to identify risks early, drive remediation, and improve secure‑by‑default patterns for AI development. This is a senior individual‑contributor role aligned to BlackRock’s Vice President level.

Requirements

• 4+ years of experience in software engineering, product security, application security, or platform engineering
• Demonstrated ability to write code and scripts to support security testing, tooling, and analysis
• Experience working with distributed, cloud‑native platforms
• Proven ability to analyze complex systems and communicate security risk clearly and pragmatically

Nice To Haves

• Experience securing AI-enabled systems or building AI/ML platforms and applications at scale
• Background in product security, application security, platform security, and/or AI systems engineering
• Experience with LLM applications, agent-based workflows, RAG pipelines, or tool/plugin architectures
• Familiarity with AI security risks such as prompt injection, jailbreaks, tool misuse, and data leakage
• Experience building security automation, guardrails, or CI/CD‑integrated testing frameworks
• Cloud experience (Azure preferred; AWS or GCP acceptable)

Responsibilities

• Drive security outcomes for AI systems across internal enterprise platforms and client-facing products
• Perform security testing and threat modeling for AI‑enabled applications, agent workflows, and tool ecosystems
• Identify and remediate risks such as prompt injection, unsafe tool usage, data exposure, and insecure execution paths
• Partner with engineering teams early in the design lifecycle to influence secure AI architectures
• Design and implement AI security guardrails and enforcement mechanisms
• Build and deploy custom security tooling and automated tests integrated into CI/CD pipelines
• Contribute to firm‑wide standards and best practices for secure AI development and deployment
• Act as a technical security advisor to engineering teams and leadership

Benefits

• employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
• strong retirement plan
• tuition reimbursement
• comprehensive healthcare
• support for working parents
• Flexible Time Off (FTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed