AI Security Engineer
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AI Security Engineer
80,000–105,000 / Year
Location
Remote
Experience
Senior
Posted
Jul 30, 2026
Apply by
August 29, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
AI Security Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Security Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$105,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them.
Required 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.
Preferred Qualifications
- 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.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [\[email protected\]](/cdn-cgi/l/email-protection). Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Key Responsibilities
- Lead the design and implementation of security controls for AI and machine learning systems.
- Develop threat models and incident response capabilities tailored to AI infrastructure.
- Address security challenges including prompt injection, model abuse, and data exfiltration.
- Design defenses for AI-powered applications and supporting AI infrastructure.
- Conduct security architecture reviews and threat modeling processes.
Requirements
- Bachelor’s or Master’s degree in Computer Science
- Cybersecurity
- or a related discipline
Skills Required
PythonSystems programmingLLM internalsAI architecturesApplication securityIdentity managementCryptographyThreat modelingSecurity architectureCloud securityAdversarial MLPrompt injectionModel abuse researchWritten communicationVerbal communicationRed-teamingDifferential privacyPrivacy-preserving ML techniques
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