Remote AI Security Engineer: Threat Modeling & Defenses

Bright Vision Technologies; United States; Remote; USD 100.000 - 150.000; Vollzeit

Benefits dieser Stelle

Equal Opportunity Employer

Zusammenfassung

Bright Vision Technologies is seeking an AI Security Engineer to design and implement security controls for AI and ML systems, focusing on LLMs, model APIs, and data pipelines. This role demands hands-on work across cloud environments and multi-tenant architectures with a strong emphasis on defense against adversarial AI threats.

The ideal candidate has extensive security engineering experience, a deep understanding of LLM internals, cryptography, and Python proficiency.

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related discipline.
• 8+ years of security engineering experience, including significant work on AI/ML systems.
• Strong understanding of LLM internals, modern AI architectures, and common failure modes.
• Hands-on experience designing security controls for AI-powered applications.
• Deep knowledge of application security, identity, and cryptography fundamentals.
• Experience with threat modeling and security architecture review processes.
• Familiarity with adversarial ML, prompt injection, and model abuse research.
• Proficiency in Python and at least one systems language.
• Strong understanding of cloud security and modern infrastructure controls.
• Excellent written and verbal communication skills.

Aufgaben

• Define and implement security controls for LLM and AI-powered risks.
• Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns.
• Design guardrails, content filters, and policy enforcement layers around model endpoints.
• Implement runtime detection and response capabilities for adversarial prompts and abusive behavior.
• Secure training and fine‑tuning pipelines, including data provenance, integrity, and access controls.
• Design controls for sensitive data handling, retention, and redaction in LLM workflows.
• Lead red‑team exercises against AI systems and drive remediation of identified weaknesses.
• Evaluate and harden third‑party AI services and open‑source AI components used internally.
• Implement identity, authorization, and tenant‑isolation patterns for multi‑tenant AI services.
• Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies.
• Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations.
• Develop monitoring, logging, and detection strategies tailored to AI workloads.
• Lead incident response for AI‑specific security events and drive durable improvements.
• Stay current with adversarial ML, LLM security research, and emerging regulatory developments.

Kenntnisse

Security engineering

Threat modeling

LLM internals

Python

Systems language

Cloud security

Identity & cryptography

Adversarial ML

AI security tooling

Ausbildung

Bachelor's or Master's degree

Tools

Python

Jobbeschreibung

Bright Vision Technologies is seeking an AI Security Engineer to design and implement security controls for AI and ML systems, focusing on LLMs, model APIs, and data pipelines. This role demands hands-on work across cloud environments and multi-tenant architectures with a strong emphasis on defense against adversarial AI threats.

The ideal candidate has extensive security engineering experience, a deep understanding of LLM internals, cryptography, and Python proficiency.