Principal Engineer, AI Security
Cambridge, MA USA · One Charles Park, Cambridge · USD 252,000-374,000 · Onsite · Posted Oct 1, 2026
At a glance
- Workplace
- Onsite
- Location
- Cambridge, MA USA · One Charles Park, Cambridge
- Salary
- USD 252,000-374,000 · Base salary
About the role
- LILA Sciences is seeking a Principal Engineer, AI Security to own security engineering for AI and ML systems, sitting on the IT & Security team.
- The role involves translating the AI security roadmap into delivered controls, driving vulnerability remediation to closure, and reducing risk across the full AI lifecycle.
- You will partner cross-functionally with AI Platform, AI Research, ML Operations, Science, and AI Safety teams to embed security at design time.
Responsibilities
- Turn the AI security roadmap into delivered controls with measurable outcomes
- Design and implement security controls across training and inference pipelines, model registries, MCP servers, and agent runtimes
- Keep AI infrastructure continuously compliant against internal standards and applicable frameworks
- Drive vulnerability remediation across AI infrastructure, models, and dependencies to closure with system owners
- Reduce risk across data, models, pipelines, and agentic systems through threat modeling, control design, and adversarial assessment
- Partner with AI Platform, AI Research, ML Operations, Science, and AI Safety so security is embedded at design time
Requirements
- Strong background in security engineering, cloud security, or DevSecOps, with hands-on experience securing production infrastructure
- Working knowledge of AI/ML systems and the ML lifecycle, plus AI-specific risks such as prompt injection, model and data poisoning, insecure agent tooling, and inference-time threats
- Experience with software supply chain security and dependency and vulnerability management
- Experience implementing data security controls (classification, data flow mapping, access control, encryption) in cloud environments
- Proven ability to partner across engineering teams and drive cross-functional remediation to closure
- Comfort operating with ambiguity in a fast-moving research environment
Preferred qualifications
- Hands-on AWS security experience
- Experience with SBOM tooling at scale
- Familiarity with AI governance and assurance frameworks such as NIST AI RMF
- Experience with MAESTRO-style threat modeling for agentic systems
Benefits
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits, including bike share memberships for office based employees
- Company subsidized lunch program
Workplace
- Located in Cambridge, MA USA at One Charles Park
Skills
- AWS
- DevSecOps
- Cloud Security
- Software Supply Chain Security
- Vulnerability Management
- Data Security
- Threat Modeling
- SBOM
