Key skills
Cloud EngineeringAzureCybersecurity assessmentAI security controlsCAIMLGenAICommunicationCloud Security
About this role
TEKsystems is a leading provider of business and technology services, and they are seeking an AI Cybersecurity Engineer to design and implement security controls around AI/ML environments. This role involves building secure reference architectures, identifying AI-specific threats, and collaborating with various teams to secure AI deployments.
Responsibilities:
- Design and implement security controls for AI/ML pipelines (training, evaluation, deployment, inference)
- Build and maintain secure reference architectures for GenAI and ML solutions
- Implement cloud security best practices: least privilege, segmentation, secrets management, encryption, and baseline hardening
- Identify and mitigate AI-specific threats, including:
- Prompt injection (direct & indirect)
- Data poisoning
- Model inversion/extraction
- Membership inference
- Sensitive data leakage in prompts, outputs, logs, embeddings
- Define and enforce technical and policy guardrails for AI workloads
- Ensure secure handling of prompts, conversation memory, completions, and embeddings
- Configure, implement, and troubleshoot cybersecurity tools and infrastructure
- Monitor and tune cyber tools; respond to security events and incidents
- Assist with capacity planning, documentation, SOP creation, and cyber practice exercises
- Support security across mixed environments (Microsoft, IBM, Linux, proprietary OS, industrial systems)
- Collaborate with cloud, app sec, and architecture teams to secure AI deployments
Requirements:
- 5+ years of Cloud Engineering (Azure required)
- Cybersecurity assessment experience focused on AI security controls — ideally with Microsoft technologies
- Strong communication skills — ability to interact with C‑level leaders