AI Security Engineer

YipitData

AI Security Engineer leading the implementation and monitoring of security controls for AI systems at YipitData. Focused on operationalizing AI security using various frameworks and standards.

Posted 5/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $230,000 - $280,000 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Own AI behavior monitoring: Define what trustworthy and untrustworthy AI behavior looks like, and ensure it is measurable in production.
Own AI observability standards: Establish telemetry, tracing, logging, and alerting requirements for AI systems and agentic workflows.
Own control validation for agentic systems: Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended.
Own AI security event analysis: Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors and coordinate response.
Own implementation support for governance frameworks: Translate governance principles into technical and operational requirements that product and platform teams can adopt.
Own AI trust metrics and reporting: Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries.
Own continuous improvement of AI controls: Use incidents, testing, behavioral findings, and stakeholder feedback to strengthen control design and reduce residual risk over time.

Requirements

What you’ll need

5+ years of experience in one or more of the following: security engineering, detection engineering, observability engineering, site reliability engineering, application security, ML platform engineering, or AI governance implementation.
Experience designing monitoring, logging, telemetry, or detection strategies for distributed systems, cloud services, or data-intensive applications.
Familiarity with AI/ML system architecture, including large language models, retrieval-augmented generation, inference pipelines, model APIs, and agentic workflows.
Experience translating governance, risk, or policy requirements into operational controls and measurable technical requirements.
Strong understanding of security concepts such as identity and access management, least privilege, data protection, abuse prevention, auditability, and incident response.
Experience investigating system behavior, identifying anomalies, and working cross-functionally to drive remediation.
Hold industry certifications (or equivalent experience): CISSP, CCSP, GIAC Machine Learning Engineer (GMLE)
Strong written communication skills, including ability to write standards, control definitions, runbooks, and leadership-facing summaries.

Benefits

Comp & perks

flexible work hours
flexible vacation
generous 401K match
parental leave
team events
wellness budget
learning reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI behavior monitoringAI observability standardscontrol validationAI security event analysisgovernance frameworks implementationAI trust metricsKPI definitionloggingtelemetrydetection strategies

Soft Skills

strong written communicationcross-functional collaborationincident responsestakeholder feedback incorporationcontinuous improvement

Certifications

CISSPCCSPGIAC Machine Learning Engineer (GMLE)