AI Security Engineer
Everforth Apex
Houston, United States of America
17 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Houston, United States of America
Tech stack
API
Artificial Intelligence
User Authentication
Azure
Computer Security
Computer Programming
Continuous Integration
Information Engineering
Information Leak Prevention
Monitoring of Systems
Identity and Access Management
Python
Role-Based Access Control
TensorFlow
Datadog
Cloud Platform System
PyTorch
Large Language Models
Software Security
Backend
Machine Learning Operations
Data Pipelines
Api Management
Microservices
Job description
- Partner with security, data science, and engineering teams to define AI security architecture and best practices.
- Advise on secure design for AI/ML and LLM-based applications and establish frameworks for responsible AI usage, model governance, and data protection.
- Design and implement security controls for AI/ML systems, including safeguards against prompt injection, adversarial inputs, and data leakage.
- Develop and implement LLM guardrails and monitoring mechanisms for AI misuse or anomalies.
- Integrate AI security controls into data pipelines, backend services, APIs, and CI/CD workflows.
- Collaborate with engineering teams to embed security into production AI systems and build secure APIs and access control mechanisms.
Requirements
- Proven ability to build and implement solutions in AI/ML or LLM-based systems and backend services.
- Strong programming skills in Python with experience in ML/AI frameworks like TensorFlow, PyTorch, or LangChain.
- Practical experience mitigating prompt injection, model tampering, and data exfiltration risks.
- Experience implementing LLM guardrails and secure model interaction patterns.
- Experience building or securing data pipelines, backend systems, API integrations, and microservices architectures.
- Strong understanding of API security, authentication, and identity and access control models (RBAC, IAM).
- Experience in cloud environments, preferably Azure, with familiarity in CI/CD pipelines and secure deployment practices.
Preferred Qualifications
- Experience designing AI governance frameworks.
- A background that spans both cybersecurity and data engineering.
- Experience with model monitoring or observability tooling.
- Familiarity with Responsible AI or policy frameworks.
- Exposure to enterprise-scale AI adoption programs.
About the company
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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