What are the responsibilities and job description for the AI Security & Compliance Engineer position at GAC Solutions?
Strong background in cybersecurity, cloud security, application security, DevSecOps, or technology risk.
Experience securing cloud-native platforms, APIs, microservices, containers, Kubernetes, CI/CD pipelines, and infrastructure-as-code.
Strong AWS cloud security exposure or comparable hyperscaler security depth, including IAM, encryption, network controls, logging, secrets, and secure deployment patterns.
Understanding of AI/ML and GenAI-specific risks such as prompt injection, adversarial attacks, data leakage, model misuse, retrieval poisoning, model supply-chain risk, and unsafe tool use.
Familiarity with threat modeling, vulnerability management, security testing, incident response, secure SDLC, DevSecOps, and Terraform/IaC controls.
Ability to work directly with engineering teams to implement practical, risk-based controls.