Remote Secure AI Systems Engineer: Cloud & ML Security

RiseMe; Austin (TX); On-site; USD 150,000 - 170,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Bright Vision Technologies is seeking a Secure AI Systems Engineer to lead the design and implementation of security controls for AI/ML systems. The role focuses on threat modeling, incident response, and addressing security challenges across LLMs, model APIs, and data pipelines.

The successful candidate will apply deep security engineering knowledge to protect AI-powered applications and the underlying infrastructure, with strong Python and systems language skills, and excellent communication

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
• Six or more years of security engineering experience, including significant work on AI or 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.

Responsibilities

• Lead the design and implementation of security controls, threat models, and incident response capabilities for AI/ML systems.
• Address security challenges from LLMs, model APIs, data pipelines, and AI-powered applications.
• collaborate with cross-functional teams to improve security posture across AI infrastructure.

Job description

Bright Vision Technologies is seeking a Secure AI Systems Engineer to lead the design and implementation of security controls for AI/ML systems. The role focuses on threat modeling, incident response, and addressing security challenges across LLMs, model APIs, and data pipelines.

The successful candidate will apply deep security engineering knowledge to protect AI-powered applications and the underlying infrastructure, with strong Python and systems language skills, and excellent communication