Senior Forward Deployed Engineer, Cyber

🕒 vor 19 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

👷🏻‍♀️ Ingenieur

👻 Geisterscore 15%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 20 Tagen offen.
• Kein Gehalt angegeben.

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Eliza

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2025

🤖 Künstliche Intelligenz

💼 Beratung

🏢 Unternehmen

Artificial Intelligence • Consulting • Enterprise

Eliza ist eine KI-native Beratungsfirma, die Unternehmen dabei hilft, bahnbrechende generative KI (insbesondere ChatGPT/OpenAI) in messbare Produktionsergebnisse zu verwandeln. Sie integrieren KI-Architekten und Enablement-Leiter in die Kundenteams, um KI-Kompetenz (Fusion) aufzubauen, wiederkehrende Prozesse in KI-unterstützte Workflows umzugestalten und zu automatisieren (Flow) und produktionsfähige KI-Systeme, Agenten, Kopiloten und Integrationen zu entwerfen und bereitzustellen (Forge). Eliza konzentriert sich auf Unternehmenseinsätze, die Übertragung von Fähigkeiten an Kundenteams und die Lieferung messbaren ROI (über 100 Einsätze und Kundenergebnisse auf ihrer Website aufgeführt).

Beschreibung

• Lead technical discovery with customer security and engineering teams • Define problems, baselines, architectures, acceptance criteria, scope, dependencies, and tradeoffs • Write, review, and debug production software connecting models, APIs, telemetry, and security systems • Choose engagement-appropriate tools and architectures while balancing speed, reliability, maintainability, and cost • Use AI coding tools while retaining ownership of code quality, correctness, and security • Own deployment and troubleshooting in customer environments, including configuration, access, CI/CD, monitoring, and integration failures • Establish release, rollback, and operating procedures • Resolve issues across system boundaries and surface technical or delivery risks with recommendations • Threat-model AI-enabled workflows and test failure cases such as prompt injection, sensitive-data exposure, and unsafe tool actions • Build controls for prompts, data flows, APIs, and cloud services, including least-privilege access, secrets protection, auditability, and human approval • Verify fixes, document limitations, and involve specialist reviewers when needed • Explain architecture, evidence, risks, and tradeoffs to technical and nontechnical stakeholders • Challenge insecure or impractical requests and offer alternatives • Work with delivery and commercial partners on commitments and additional opportunities • Produce documentation, interfaces, runbooks, and knowledge transfer • Establish operating ownership and handover criteria • Turn proven solutions into reusable engineering patterns, evaluation cases, and playbooks • Share technical guidance with colleagues

🎯 Anforderungen

• Deep practical cybersecurity expertise, including hands-on blue-team experience in detection, investigation, response, or defensive security engineering, with specific examples of decisions and outcomes personally owned • Strong software engineering skills beyond security scripting, including production code, integrations, debugging, testing, and maintainable system design • Record of taking complex technical work from problem definition through deployment, validation, and operational handover • Practical AI fluency, including effective use of AI development tools and judgment about model evaluation, failure modes, and human review • Experience deploying and troubleshooting software in cloud or customer-hosted environments • Practical understanding of identity and access, APIs, delivery pipelines, and production observability • Clear customer-facing communication and ability to translate ambiguous needs into technical requirements and acceptance evidence • Senior technical judgment, independent work, explicit tradeoffs, recognition of expertise limits, and early escalation of material risks • Ownership of useful outcomes, including verification, documentation, and adoption after the initial build • Additional depth in application security, AI agent security, security developer tooling, or purple-team and red-team work (preferred) • Consulting, professional services, forward-deployed engineering, or comparable direct customer delivery experience (preferred) • Experience with vulnerability remediation, investigation automation, identity and access controls, or secure AI integrations (preferred) • Experience in defense or other demanding security environments, or creating reusable technical capabilities across engagements (preferred) • Legally authorized to work in the United States • Must answer whether employment visa sponsorship is required now or in the future

🏖️ Vorteile

• Competitive compensation (base salary + performance incentives tied to client outcomes) • Equity options in a growing AI services company • Exposure to a wide range of industries and high-impact AI problems • Travel opportunities for on-site client engagements (if desired) • A collaborative, mission-driven team passionate about the real-world impact of AI • Fully remote work • Ownership of substantive cyber engineering work and the opportunity to shape reusable approaches to AI-enabled security delivery

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