
Secure AI Systems Engineer
Bright Vision Technologies · Richardson, TX
Remote
About the job
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.
Key Responsibilities
Define and implement security controls specifically targeting LLM and AI-powered application risks
Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns
Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints
Implement runtime detection and response capabilities for adversarial prompts and abusive behavior
Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls
Design controls for sensitive data handling, retention, and redaction in LLM workflows
Lead red-team exercises against AI systems and drive remediation of identified weaknesses
Evaluate and harden third-party AI services and open-source AI components used internally
Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services
Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies
Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations
Develop monitoring, logging, and detection strategies tailored to AI workloads
Lead incident response for AI-specific security events and drive durable improvements
Stay current with adversarial ML, LLM security research, and emerging regulatory developments
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 Harry@bvteck.com or contact us at (908)676-4399. 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.
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