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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Security Engineer focused on AI Security - **Company:** Lila Sciences, Inc. - **Location:** Cambridge, United States - **Experience:** Expert - **Salary:** $255,000.0 - $348,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software as a Service, Cloud Computing, Cloud Computing Security, Cyber Security, Data Governance, Information Leak Prevention, Zero Trust Network Access, Data Processing, Cloud Platform System, Data Classification, Large Language Models, Multi-Agent Systems, Software Security, Data Layers, AI Platforms, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/principal-engineer-ai-security-lila-sciences-7933330 ## About the Role * 8+ years of experience in information security, with strong expertise in enterprise, cloud, or application security. * Hands-on experience designing and implementing security controls in enterprise environments. * Familiarity with AI/ML systems and how modern AI tools (LLMs, copilots, APIs) are used in practice. * Experience with cloud platforms (AWS/GCP), SaaS security, and zero trust architectures. * Experience with data protection technologies (e.g., DLP, data classification, access controls). * Practical experience with threat modeling, red teaming, or adversarial testing. * Strong communication and influence skills across technical and non-technical stakeholders. Bonus Points For * Experience securing enterprise use of LLMs, copilots, or generative AI platforms. * Familiarity with AI gateways, prompt filtering, or model interaction controls. * Experience evaluating or securing third-party AI vendors and APIs. * Background in regulated environments (biotech, healthcare, defense, or government). * Experience with browser security, endpoint controls, or SaaS security platforms. * Knowledge of privacy-enhancing technologies or confidential computing. * Contributions to AI/ML security research or community. ## Description As a Principal Security Engineer focused on AI Security, you will define and drive the technical strategy for securing how AI is used across Lila's enterprise. You will operate as a senior individual contributor, partnering with IT and business teams to ensure safe and compliant adoption of AI tools and platforms. While Lila builds AI-powered systems, this role is primarily focused on securing the use of third-party and internally deployed AI tools across the enterprise - ensuring sensitive data, intellectual property, and scientific workflows are protected as AI becomes deeply embedded in how work gets done. What You'll Be Building * Enterprise AI Security Strategy - Define and implement security controls and guardrails for the use of AI tools (e.g., LLM APIs, SaaS AI platforms, and internal AI services) across the organization. * AI Gateway & Agentic Gateway Security - Design and implement AI gateway controls to manage and monitor access to external and internal AI systems. Secure agentic workflows by enforcing identity, authorization, tool-use constraints, and policy controls for autonomous or semi-autonomous agents. * AI Red Teaming & Adversarial Testing - Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and abuse of connected tools and plugins. * Data Protection for AI Usage - Develop and enforce controls to prevent sensitive data leakage through AI systems, including input/output filtering, data classification, tokenization, and secure handling of prompts, embeddings, and outputs. * Multi-Layer AI Security (Network, Endpoint, Data) - Integrate AI security into existing enterprise security layers: network visibility and control over AI service access, API traffic inspection, and zero trust enforcement; endpoint security for developer machines, research environments, browsers, and plugins; data layer controls ensuring proper handling of sensitive data when interacting with AI systems. * AI Threat Modeling (Enterprise Context) - Develop threat models focused on enterprise AI usage, including risks such as data leakage, prompt injection, model misuse, supply chain risks from AI vendors, and unauthorized agent actions. * Vendor & Platform Security - Assess and guide secure adoption of third-party AI vendors and platforms, including evaluating data handling practices, model behavior, and integration risks. * Incident Response for AI Usage - Define and support response approaches for AI-related incidents, such as sensitive data exposure, policy violations, or misuse of AI tools. * Cross-Functional Technical Leadership - Partner with Legal, Compliance, IT, and Engineering to align AI usage with regulatory requirements, data governance policies, and responsible AI practices. * Security Enablement - Contribute to internal guidance and education on safe AI usage, including secure prompting, data handling, and appropriate use of AI tools. * Security Tooling & Implementation - Evaluate and implement tooling for AI security, including AI gateways, DLP integrations, monitoring solutions, and policy enforcement mechanisms. ## Related Videos - [Automated Security for the Entire SDLC](https://www.wearedevelopers.com/videos/100323-automated-security-for-the-entire-sdlc) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [Prompt Injection, Poisoning & More: The Dark Side of LLMs](https://www.wearedevelopers.com/videos/1563-prompt-injection-poisoning-more-the-dark-side-of-llms) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Dev Digest 196: AI Killed DevOps, LLM Political Bias & AI Security](https://www.wearedevelopers.com/magazine/659-dev-digest-196-ai-killed-devops-llm-political-bias-ai-security) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)