Principal Engineer, AI Security
Lila Sciences · Cambridge, MA USA · One Charles Park, Cambridge, MA
CHECKED 15H AGO
Bio & Science AIonsiteprincipal$255k–$348k
At a glance
Highlights
- Define enterprise AI security strategy for LLM and SaaS AI adoption.
- Design AI gateway controls and secure autonomous agentic workflows.
- Lead AI red teaming to block prompt injection and data exfiltration.
What they offer
- Bonus potential
- Early-stage equity
- Medical, dental and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with company holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits
- Company-subsidized lunch program
Ideal candidate
Seasoned security leader with 8+ years in enterprise security who thrives on enabling safe AI adoption. You blend strategic thinking with hands-on building and influence across technical and business teams.
Requirements
- 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.
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation