3 months ago

Principal Engineer, AI Security

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Senior security engineering role focused on AI usage across the enterprise. Defines and drives security controls for AI tools, implements AI gateway security, conducts red/ adversarial testing, and coordinates cross-functional risk management to safeguard data, IP, and workflows in AI-enabled environments.

Location: Cambridge

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Define and implement security controls and guardrails for the use of AI tools across the organization, including AI gateways and internal AI services
•Design and implement AI gateway controls to manage access to external and internal AI systems and enforce policy controls for autonomous agents
•Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and plugin abuse
•Develop and enforce data protection controls to prevent sensitive data leakage through AI systems (input/output filtering, data classification, tokenization)
•Integrate AI security into existing enterprise security layers (network visibility, API traffic inspection, zero trust; endpoint and data security)

Key Requirements

•8+ years of information security experience 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)

Experience:8+ yearsEnterprise securityAI securityCloud

Skills:CommunicationInfluence

Languages:English

Tech Stack:LLMsAPIsSaaSDLPData classificationZero trustAWSGCP

Company Brief

Lila Sciences

Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn

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Lila Sciences

3 months ago

Principal Engineer, AI Security

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Cambridge

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Define and implement security controls and guardrails for the use of AI tools across the organization, including AI gateways and internal AI services
•Design and implement AI gateway controls to manage access to external and internal AI systems and enforce policy controls for autonomous agents
•Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and plugin abuse
•Develop and enforce data protection controls to prevent sensitive data leakage through AI systems (input/output filtering, data classification, tokenization)
•Integrate AI security into existing enterprise security layers (network visibility, API traffic inspection, zero trust; endpoint and data security)

Key Requirements

•8+ years of information security experience 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)

Experience:8+ yearsEnterprise securityAI securityCloud

Skills:CommunicationInfluence

Languages:English

Tech Stack:LLMsAPIsSaaSDLPData classificationZero trustAWSGCP

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn