Arrowstreet Capital
Senior AI Security Engineer
Boston · Senior
Sponsorship not specified$200k-$325kDetected 51 days ago
AWSAzureCloud PlatformsKubernetesCI/CDLinuxOAuthMachine LearningLLMsAgentic AICybersecurityNetwork SecurityDetection EngineeringRecruitingCommunication
About the role
- A significant focus will be on securing AI/ML platforms and AI‑enabled applications across their full lifecycle, from development through deployment and runtime operations.
- The base salary range for this position is $200,000 - $325,000 per year.
Responsibilities
- Design and build Identity and Access Management solutions to support AI agent identities, including secure agent authentication, authorization, delegation, credential management, workload identity, tool/API access control, least-privilege enforcement, auditability, and lifecycle management across Windows, Linux, on‑prem infrastructure, cloud, Kubernetes, application, and enterprise environments.
- Implement end‑to‑end identity context propagation for agent runs (who/what/why), ensuring every tool call and downstream action is attributable via signed requests, scoped tokens, tamper‑evident audit logs, and correlation IDs across orchestration layers, APIs, and cloud services.
- Partner with Platform and Cloud Engineering teams to secure AI/ML systems end‑to‑end.
- Develop secure execution environments for open‑source software, third‑party tools, and AI agents by leveraging OS‑level, network, IAM, and containerized controls.
- Build monitoring, logging, and detection capabilities to identify malicious or unintended use of systems, including AI‑enabled applications and agentic workflows.
- Ability to build security controls through code and automation, leveraging scripting, IaC, and CI/CD security practices
- Proven ability to collaborate effectively across teams, influencing cloud, platform, and application engineers to embed security seamlessly into delivery workflows
Requirements
- Must be able to design secure IAM architectures and implement them directly across cloud, Kubernetes, on-prem, application, API, and AI-enabled environments.
- Extensive hands-on experience across security engineering, cloud security, application security, and network security
- Proven ability to secure AI/ML and LLM‑based platforms, including data‑intensive and production systems
- Strong understanding of AI‑specific threat models (e.g., prompt injection, model misuse, data leakage, insecure outputs)
- Strong written and verbal communication skills, with the ability to clearly articulate security risks, tradeoffs, and recommendations to both technical and non‑technical stakeholders
Nice to have
- Experience designing and implementing automated guardrails, monitoring, logging, and detection for AI‑enabled and data‑driven applications
- Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture.
- Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans.
Compensation
- The base salary range for this position is $200,000 - $325,000 per year.
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