Senior AI Security Engineer

Stelle nicht auf LinkedIn

🕒 vor 4 Tagen

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

dataSpring Inc.

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2009

🤝 B2B

📣 Marketing

☁️ SaaS

B2B • Marketing • SaaS

dataSpring ist ein auf Asien fokussierter Anbieter von Marktforschung und Online-Panels. Es bietet eine umfassende Abdeckung über 12 Länder und mehr als 2 Millionen aktive Panelisten und versorgt Forscher mit eigenen Panels, Drittpartnern und API-Integration. dataSpring bietet eine mobile Forschungsplattform, 24/7 regionalen Operationssupport in lokalen Sprachen, ein Qualitätskontrollsystem für die Datenvalidität, herunterladbare Panelbücher und Insights-Inhalte (Blogs und Podcasts), die auf Unternehmen abzielen, die Umfragen und Marktforschung in Asien durchführen.

Beschreibung

• Lead threat modeling for AI capabilities, agentic features, and integrations. • Maintain a living threat model aligned to OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI RMF, and translate findings into prioritized, actionable controls. • Own and maintain the AI security reference architecture covering model hosting, orchestration, tool use, MCP server deployments, and observability. • Establish security patterns for new capabilities before they reach production. • Evaluate foundation models for data-leakage risk and supply-chain provenance. • Harden prompt pipelines against injection, jailbreaking, and context poisoning. • Define trust boundaries, tool call authorization, privilege scoping, and human-in-the-loop escalation policies for multi-agent systems. • Apply zero-trust principles to all model API calls, vector store queries, and external tool invocations. • Classify and control data flowing into LLM context windows, vector databases, and training pipelines. • Instrument AI infrastructure with behavioral telemetry. • Support SOC 2, HIPAA, ISO 27001, and NIST AI RMF compliance as applied to AI systems.

🎯 Anforderungen

• 8+ years of progressive information security experience across architecture, application security, identity, and data domains. • Hands-on use of Claude for application development, including system prompt design, tool-use configuration, and multi-agent orchestration. • Experience with the Model Context Protocol (MCP) ecosystem and securing MCP server deployments. • Red team or adversarial AI testing experience: model evasion, adversarial examples, jailbreak research. • Background in a regulated industry with data sensitivity requirements, healthcare a plus. • Contributions to AI security open-source projects, published research, or conference presentations (DEF CON AI Village, Black Hat, NeurIPS). • Demonstrated success securing AI/ML systems, LLM applications, or agentic AI platforms in a production environment. • Demonstrated experience building or securing applications developed substantially through LLM-assisted code generation (Claude, Copilot, Cursor, or equivalent). • Cloud-native security experience on at least one major provider (AWS, Azure, GCP), including IAM policy design, network segmentation, and secrets management. • Demonstrated success automating adversarial testing infrastructure include jailbreak suites, prompt injection harnesses, and regression pipelines tied to model and prompt changes. • Relevant certifications: CISSP, CCSP, OSCP, AWS/Azure Security Specialty, or emerging AI security credentials.

🏖️ Vorteile

• medical, dental, and vision coverage • a 401(k) with company contributions and matching • paid parental leave • tuition assistance • generous paid time off