Principal Engineer (AI Security)

TL;DR

Principal Engineer (AI Security): Define and drive technical strategy for securing AI usage across enterprise with an accent on enterprise AI security strategy, AI gateways, red teaming, and data protection. Focus on designing controls for agentic workflows, multi-layer security integration, threat modeling, and vendor assessments.

Location: Cambridge, MA, USA

Salary: $171,000 - $230,534 USD

Company

hirify.global builds Scientific Superintelligence systems that autonomously execute the scientific method to accelerate discovery in medicine, materials, and energy.

What you will do

• Define and implement security controls and guardrails for AI tools including LLM APIs, SaaS platforms, and internal services.
• Design AI gateway and agentic gateway security to manage access, enforce identity, authorization, and policy controls.
• Conduct AI red teaming, adversarial testing for prompt injection, data exfiltration, jailbreaks, and tool abuse.
• Develop data protection controls like input/output filtering, data classification, and tokenization to prevent leakage.
• Integrate AI security into network, endpoint, and data layers with zero trust enforcement and API inspection.
• Perform AI threat modeling, assess third-party vendors, define incident response, and provide cross-functional leadership.

Requirements

• 8+ years in information security with expertise in enterprise, cloud, or application security.
• Hands-on experience designing/implementing security controls in enterprise environments.
• Familiarity with AI/ML systems, LLMs, copilots, and their practical enterprise usage.
• Experience with cloud platforms (AWS/GCP), SaaS security, zero trust architectures.
• Knowledge of data protection (DLP, classification, access controls) and threat modeling/red teaming.
• Strong communication skills for technical and non-technical stakeholders.

Nice to have

• Experience securing LLMs, copilots, generative AI, or AI gateways/prompt filtering.
• Evaluating/securing third-party AI vendors and APIs.
• Background in regulated environments (biotech, healthcare, defense).
• Browser/endpoint security, SaaS platforms, privacy-enhancing technologies.
• Contributions to AI/ML security research.

Culture & Benefits

• Competitive compensation with bonus and early equity.
• Guided by values of truth, trust, curiosity, grit, and velocity.
• Startup speed tackling historic scientific challenges.
• Encourages applications even if not meeting every qualification.