Strong experience triaging SCA/SAST/DAST findings and managing high-severity escalations
Requirements:
Provide unified application security triage coverage across SCA, SAST, and DAST findings
Rapidly assess and coordinate responses for threat intelligence escalations and PatchNow Critical events
Monitor and analyze newly disclosed and novel vulnerabilities
Engineer, test, and implement application security tooling that leverages frontier models or AI-enabled capabilities
Job description
Job Title: Application Security AI Engineer Work Location: Remote – USA Pay: $70 – 90/ hour
Must have: 3 plus years Code scanning experience, 3 plus years open source scanning, and 3 plus years dynamic and static scanning
The Application Security AI Engineer will augment the Application Security team by providing unified triage coverage across SCA/SAST/DAST findings, threat intelligence escalations, and PatchNow Critical events.
In addition to triage and code scan vulnerability management, the engineer will provide hands-on engineering support to test, evaluate, and help implement AI-assisted security tooling (including frontier-model-based capabilities) and strengthen software supply chain security, including safeguarding developer IDEs, plugins/extensions, and developer workflows from malicious code and compromise.
Job Duties:
Provide unified application security triage coverage across SCA, SAST, and DAST findings, including validation of critical and high-risk vulnerabilities, false positive analysis, exploitability assessment, remediation guidance, and escalation support for findings that may impact production, internet-facing, or business-critical applications.
Rapidly assess and coordinate responses for threat intelligence escalations and PatchNow Critical events, including scope analysis, owner routing, mitigation guidance, tracking, and closure verification.
Monitor and analyze newly disclosed and novel vulnerabilities, including faster-moving disclosures influenced by frontier-model-enabled research, and produce actionable briefs that drive remediation plans.
Engineer, test, and implement application security tooling that leverages frontier models or AI-enabled capabilities for vulnerability identification, code reasoning, triage acceleration, remediation recommendations, and analyst workflow automation while preserving human review, auditability, and secure use controls.
Support company processes for evaluating and onboarding new AI capabilities, including technical proof-of-value execution, security testing, control validation, data handling review, model output evaluation, success metrics, and documentation needed for internal governance and approval pathways.
Strengthen software supply chain security by helping secure open-source dependency selection, package intake, SBOM and component visibility, malicious package detection, dependency health assessment, and policy enforcement across developer, pipeline, and artifact management workflows.
Assess and improve developer IDE security, plugins/extensions, and developer workflows, including package managers, code-assist tools, and CI integrations, against malicious code, compromised extensions, and unsafe configurations.
Qualifications:
Strong experience triaging SCA/SAST/DAST findings and managing high-severity escalations (threat intel and critical patch events) through remediation and closure.
Engineering experience with scripting, automation, APIs, CI/CD workflows, developer tooling, or security platform integrations.
Practical familiarity with AI-enabled security tools, frontier models, coding assistants, prompt and tool orchestration, model evaluation, or AI governance processes.
Experience securing the software supply chain and developer tooling (IDEs, plugins/extensions, package managers, CI/CD integrations) against compromise and malicious code.
Ability to translate technical vulnerability findings into clear remediation guidance, risk summaries, and prioritization recommendations for development and security stakeholders.
