Cyber Senior Manager: AI Security, Infrastructure

Responsibilities: Advise security, infrastructure, technology, and AI leaders on secure platform strategy for AI workloads Lead multi-workstream infrastructure programs from assessment to implementation and adoption Define scalable control patterns for network isolation, Kubernetes, model serving, GPU environments, IaC, policy enforcement, software supply chain, and observability Provide hands-on technical oversight through architecture reviews, prototypes, platform decisions, and delivery issue resolution Lead pursuits and account growth by shaping solutions, demos, scope, estimates, pricing inputs, and delivery approaches Oversee client relationships, engagement quality, delivery risk, and customer satisfaction while building practice capability

Key requirements: 8+ years in cybersecurity and AI engineering with hands-on production work Experience designing and securing AI landing zones across AWS, Azure, or Google Cloud Security infrastructure including private connectivity, segmentation, egress control, service-to-service security, tenant isolation, secrets management, encryption, observability Implementing IaC, CI/CD, and policy-as-code using Terraform, CloudFormation, Bicep, Open Policy Agent, Gatekeeper, Kyverno or similar tools Reviewing architecture, automation, platform configuration, and prototypes; guiding teams through infrastructure decisions Leading consulting engagements, client relationships, delivery quality, and account growth Bachelor’s degree in Computer Science, Engineering, IT, Cybersecurity or related field Ability to travel 25–50% Limited immigration sponsorship may be available excellent written and verbal communication ability to build and sustain professional relationships leadership of projects or workstreams Kubernetes cloud architectures (AWS/Azure/GCP) GPU and model-serving platforms