Secure AI Systems Engineer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This role seeks a Secure AI Systems Engineer to lead security initiatives in AI and machine learning systems, focusing on designing security controls and addressing unique security challenges.

Responsibilities:

• Lead the design and implementation of security controls
• Develop threat models
• Build incident response capabilities specifically tailored to AI and machine learning systems
• Address the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications
• Design defenses for both AI-powered applications and the AI infrastructure that supports them

Requirements:

• 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
• Publications, talks, or CTF participation in AI security topics
• Experience with red-teaming LLM-based products
• Familiarity with privacy-preserving ML techniques such as differential privacy
• Exposure to regulated industries with strict data handling requirements
• Open-source contributions to AI security tooling