Senior Forward Deployed Engineer, Cyber

🔥 4 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eliza

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Eliza is an AI-native consulting firm that helps enterprises turn frontier generative AI (notably ChatGPT/OpenAI) into measurable production impact. They embed AI architects and enablement leaders into client teams to build AI fluency (Fusion), redesign and automate repeatable processes into AI-assisted workflows (Flow), and design and ship production-grade AI systems, agents, copilots, and integrations (Forge). Eliza focuses on enterprise deployments, capability transfer to client teams, and delivering measurable ROI (100+ deployments and client case results noted on their site).

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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