Join the IT AI Automation team to build and harden micro-apps and AI integrations on a governed GCP platform. Contribute to bug fixes, small features, code and design reviews, monitoring, and apply foundational software development and security practices. Gain hands-on experience with Python, SQL, CI/CD, and AI tools while supporting deployments, secrets management, testing, and documentation.

Design and implement security controls for LLMs and generative AI systems. Conduct threat modeling, architecture reviews, and vulnerability remediation for ML pipelines. Secure training, fine-tuning, and inference infrastructure, including containers, Kubernetes, and cloud/GPU environments. Develop policies, runbooks, and training; evaluate vendor AI services; assist with proofs-of-concept and incident response for AI-specific threats like prompt injection and model poisoning.