AI Information Security Engineer

Tenable
Boston, Columbia
Workplace: HybridFull timeUSD 122,500 - 163,166.67 annuallyFunction: CybersecurityExperience: 5+ yearsEducation: mastersSkills: ["Cross-functional collaboration","Written and verbal communication","Problem-solving","Attention to detail","End-to-end ownership"]

Help secure Tenable’s AI products and enterprise AI deployments by designing and maintaining end-to-end security controls across the AI/ML lifecycle. Conduct safety research by inspecting model internals, run AI safety assessments and threat modeling, and build guardrails for LLMs and other models. Partner with engineering and product teams to drive AI SSDLC/DevSecOps practices, create tooling and guidance, and improve Tenable’s security posture through continuous monitoring and emerging research.

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FursaFursa
Tenable
Tenable
13 hours ago

AI Information Security Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Help secure Tenable’s AI products and enterprise AI deployments by designing and maintaining end-to-end security controls across the AI/ML lifecycle. Conduct safety research by inspecting model internals, run AI safety assessments and threat modeling, and build guardrails for LLMs and other models. Partner with engineering and product teams to drive AI SSDLC/DevSecOps practices, create tooling and guidance, and improve Tenable’s security posture through continuous monitoring and emerging research.
Location: Boston, Columbia
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and maintain security controls across the AI/ML lifecycle for Tenable products and enterprise deployments.
  • •Conduct AI safety research by inspecting model internals and performing AI safety assessments and threat modeling to identify risks (e.g., data poisoning, model evasion, model extraction).
  • •Build security guardrails and boundary mechanisms for LLMs, SLMs, and open-source models, including governance and access control across models and feature stores.
  • •Develop and deploy AI security reference architectures and tooling to strengthen cybersecurity posture across identity, incident management, vulnerability management, and third-party risk.
  • •Drive AI Secure Software Development Lifecycle (SSDLC) and DevSecOps practices, including security testing and CI/CD pipeline security automation; create security guidance and training.

Pay and Benefits

Salary: USD 122,500 - 163,166.67 annually
Perks:Health InsuranceDentalVisionDisability InsuranceLife Insurance401kEquityEducation AssistanceParental LeavePaid LeavePaid Holidays

Key Requirements

  • •5+ years of professional experience in information security or application security, including 1–2 years focused on securing AI/ML systems.
  • •Master’s degree preferred in Computer Science, Cybersecurity, Data Science, or related field.
  • •Deep understanding of AI-specific security threats including adversarial ML, data poisoning, prompt injection, model inversion, and inference attacks.
  • •Strong coding experience in Python and/or Go.
  • •Experience with AI/ML interpretability/probing tools such as TransformerLens, NNsight, Captum, or LIT, and familiarity with model internals concepts (e.g., residual streams, attention patterns).
Experience:5+ yearsAI/ML securityApplication securityDevSecOpsCloud security
Education:Master's
Skills:Cross-functional collaborationWritten and verbal communicationProblem-solvingAttention to detailEnd-to-end ownership
Certifications:CISSPCSSLPSANS GIACCEH
Languages:English
Tech Stack:PythonGoPyTorchHugging Face TransformersTensorFlowTransformerLensNNsightCaptumLITAWSAzureGCPDockerMicroservicesSASTDASTSCAThreat modelingCI/CDDevSecOps

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Tenable
Provides cybersecurity solutions including vulnerability management, asset discovery, and risk-based vulnerability prioritization to help organizations identify, assess, and remediate cyber risks across IT, cloud, and OT environments.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Columbia, United States
Founded: 2002
WebsiteLinkedIn