AI Security Engineer

Experience: 12+ Years

Visa: EAD, L2, TN, E2, (No H1B, OPT)

The scope of this work is to provide AI Security Engineering and Architecture services to support the Enterprise AI Security Program. The role will serve as a hands-on technical contributor responsible for defining, implementing, and validating security controls and solutions that protect AI and data development, deployment, and usage across the enterprise. The AI Security Team is responsible for establishing secure-by-design principles for AI and Agentic AI systems, ensuring appropriate controls, governance, monitoring, and regulatory alignment across platforms such as ChatGPT Enterprise, AWS Bedrock, Databricks, and other enterprise AI services.

Role:

This role requires a strong security and engineering background combined with AI/LLM development and deployment knowledge, preferably with deep knowledge of AI security principles. The focus will include evaluating AI protection and AI-SPM solutions, deployment and integration with enterprise cloud ecosystem, and enforcing and configuring centralized security policies.

Requirements:

Strong engineering, system architecture, and hands-on deployment/integration experience in the cloud (namely AWS).
Strong understanding of AI security principles and best practices, with the ability to apply them in production environments.
Familiarity with deploying and securing AI pipelines across cloud ecosystems (e.g., Databricks, AI Gateway).
Experience configuring, integrating, and enforcing security guardrails across AI systems.
Ability to define, implement, and operationalize AI security baselines, and evaluate AI security solutions (e.g., AI Runtime Protection, AI-SPM).
Understanding of AI governance and regulatory requirements (GDPR, EU AI Act, …), with the ability to translate them into enforceable policies and controls.
Ecosystem: AWS, Databricks, Bedrock, MLflow, n8n, UiPath, Terraform.
Experience Level:

Senior Engineer / Security Engineer / Security Architect: ~5–7 years total experience
Experience by Area:
Cloud (AWS): ~4–6 years – implementation and integration of secure architectures, not just used services
Security Fundamentals: ~2–4 years in security-focused work (can overlap with cloud role)