Cyber Senior Manager: AI Security, Infrastructure
deloitteFranklin (TN)
Cyber Senior Manager: AI Security, Infrastructure
Posted today
deloitteFranklin (TN)
SENIORITY
Manager
About the role
Overview:
In this role, you will lead security-focused AI infrastructure programs for managed and self-hosted AI workloads. You’ll guide cross-functional teams from current-state assessments to target architectures, delivering production-grade secure platforms. You shape and oversee technical approaches, develop accelerators, and drive client value through strategic engagements and scalable solutions. The position combines hands-on architecture with leadership to advance secure AI delivery across cloud and on-prem environments. This role offers impact by shaping secure AI landing zones and infrastructure across major cloud platforms.
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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.