About this role About This Role

As a member of Black Rock’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 Black Rock’s Vice President level.

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

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

Preferred Experience

• 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)

For DEL-Wilmington - 100 Bellevue Parkway Only the salary range for this position is USD**$138,000.00** - USD**$186,500.00** . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. Black Rock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

Black Rock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at Black Rock.

About Black Rock

At Black Rock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on Black Rock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

Black Rock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

Black Rock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.

Black Rock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.