Among information security analysts, AI is already used for a large share of the tasks. Measured exposure for information security analysts: 49% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Your Impact at LILA

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.

We’re All In

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

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy .

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.