Secure AI Systems Engineer

Bright Vision Technologies

United States

Remote

USD 150,000 - 170,000

Full time

2 days ago
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Job summary

Bright Vision Technologies is seeking an Secure AI Systems Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities tailored to AI and ML systems, including LLMs, model APIs, and data pipelines.

The ideal candidate has hands-on experience building defenses for AI-powered applications and the infrastructure that supports them, along with strong security engineering fundamentals and cloud security knowledge.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or 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 design and implementation of security controls for AI/ML systems.
  • Develop threat models and incident response capabilities.
  • Evaluate security of AI infrastructure, model APIs, and data pipelines.
  • Support secure deployment across cloud environments.

Skills

Security engineering
AI/ML systems
LLM internals
Security controls
Threat modeling
Security architecture
Adversarial ML
Python
Systems language
Cloud security
Communication

Education

Bachelor/Master in CS

Job description

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: Secure AI Systems Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $150,000–$170,000 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 Secure AI Systems 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.

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.

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