21 days ago
Remote, United StatesSenior
Responsibilities
- Lead technical discovery with customer security and engineering teams and define architectures, acceptance criteria, scope, and tradeoffs.
- Write, review, debug, test, and maintain production software integrating models, APIs, telemetry, and security systems.
- Deploy and troubleshoot capabilities in cloud or customer-hosted environments, including configuration, access, delivery pipelines, monitoring, and integrations.
- Threat-model and evaluate AI-enabled security workflows, including prompt injection, sensitive-data exposure, unsafe tool actions, and failure cases.
- Build security controls for prompts, data flows, APIs, and cloud services, including least-privilege access, secrets protection, auditability, and human approval.
- Communicate architecture, evidence, risks, and tradeoffs to technical and nontechnical stakeholders while challenging unsafe or ineffective requests.
- Create documentation, interfaces, runbooks, reusable engineering patterns, evaluation cases, and knowledge-transfer materials for customer handover.
Requirements
- Deep practical cybersecurity expertise with hands-on blue-team experience in detection, investigation, response, or defensive security engineering.
- Strong software engineering skills beyond security scripting, including production code, integrations, debugging, testing, and maintainable system design.
- Experience taking complex technical work from problem definition through deployment, validation, and operational handover.
- Practical AI fluency, including 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, with understanding of identity and access, APIs, delivery pipelines, and production observability.
- Clear customer-facing communication and the ability to translate ambiguous needs into technical requirements and acceptance evidence.
- Senior technical judgment, independent ownership, explicit tradeoff management, and early escalation of material risks.
- Preferred qualifications include application security, AI agent security, security developer tooling, purple-team or red-team work, consulting, professional services, forward-deployed engineering, vulnerability remediation, identity and access controls, secure AI integrations, or experience in demanding security environments.
Benefits
- Competitive compensation consisting of base salary and performance incentives tied to client outcomes.
- Equity options in a growing AI services company.
- Exposure to varied industries and high-impact AI problems.
- Optional travel for on-site client engagements.
- Fully remote work.
- Opportunity to own substantive cyber engineering work and shape reusable AI-enabled security delivery approaches.
Categories
Forward Deployed
About Eliza
Eliza is a New York–based technology services firm that designs and delivers enterprise AI solutions. The company helps organizations adopt ChatGPT Enterprise, build custom LLM integrations and agents, and implement predictive analytics and intelligent automation. It operates on a consulting and implementation model, partnering across industries to move prototypes into production; privately held with a headquarters in New York City.