Principal Engineer, AI Security

Lila Sciences, Inc.; Cambridge (MA); On-site; USD 252,000 - 374,000; Full time

Job summary

Lila Sciences is seeking a senior AI security engineer on the IT & Security team to own security for AI and ML systems across training, inference pipelines, model registries, MCP servers, and agent runtimes.

You will translate the AI security roadmap into concrete controls, drive vulnerability remediation to closure, and reduce risk across data, models, pipelines, and agentic systems. The role is hands-on with depth in cloud security, supply chain security, and AI-specific threat modeling.

Qualifications

• Strong background in security engineering, cloud security, or DevSecOps.
• Hands-on experience securing production infrastructure.
• Familiar with AI/ML systems and lifecycle risks (prompt injection, data poisoning, insecure tooling, inference-time threats).
• Experience with supply chain security and vulnerability management.
• Data security controls (classification, data flow mapping, access control, encryption) in cloud environments.
• Proven ability to partner across engineering teams and drive remediation to closure.
• Comfort operating with ambiguity in a fast-moving research environment.

Responsibilities

• Translate the AI security roadmap into delivered controls with measurable outcomes.
• Drive vulnerability remediation across AI infrastructure, models, and dependencies to closure with system owners.
• Keep AI infrastructure continuously compliant against internal standards and applicable frameworks.
• Partner with AI Platform, AI Research, ML Operations, Science, and AI Safety so security is embedded at design time.
• Threat modeling and control design across data, models, pipelines, and agent runtimes.
• Reduce risk across data, models, pipelines, and agentic systems through cross-functional remediation and collaboration.

Skills

Security engineering

Cloud security

DevSecOps

AI/ML security understanding

Vulnerability management

Cross-functional collaboration

Ambiguity tolerance

Job description

Lila Sciences is building autonomous systems for scientific discovery, and the AI infrastructure behind that work needs security built in from the start. This role sits on the IT & Security team and owns security engineering for Lila's AI and ML systems, from training and inference pipelines to model registries, MCP servers, and agent runtimes.

As the senior individual contributor for AI security, you will translate the AI security roadmap into delivered controls, drive vulnerability remediation to closure, and reduce risk across the full AI lifecycle: data, models, pipelines, and agentic systems. The work is hands on, with technical depth across cloud security, supply chain security, and AI-specific threat models.

The role is deeply cross-functional. You will partner with AI Platform, AI Research, ML Operations, Science, and AI Safety so security shows up at design time rather than after the fact. Success looks like AI infrastructure that stays continuously compliant, measurable reduction in open risk, and engineering teams that treat security as part of how they build.

What You'll Be Building

• 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

What You'll Need to Succeed

• 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

Bonus Points For

• 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

Compensation

We offer competitive base compensation with bonus potential and generous early‑stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits. Full‑time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer‑paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

International Benefits. Full‑time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range

$252,000 - $374,000 USD

About LILA

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard‑coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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