AI Governance Engineer

Bright Vision Technologies; Sterling (VA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies in the United States is seeking an AI Governance Engineer to lead the design and implementation of security controls for AI/ML systems. This remote role requires deep knowledge of LLMs, prompt injection risks, and secure AI infrastructure.

The candidate will develop threat models, establish incident response capabilities, and collaborate across engineering teams to mitigate AI-specific security threats.

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 for AI infrastructures.
• Address security challenges posed by LLMs, model APIs, and data pipelines.

Skills

Python

Systems language

Threat modeling

Cloud security

Cryptography

AI/ML security

LLM internals

Security architecture

Incident response

Education

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related field

Job description

AI Governance 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 Governance Engineer

Location: 100% Remote (United States)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$150,000 Annually

Experience: 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

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 expresses 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.