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Overview: In this role you will lead secure AI infrastructure initiatives for generative AI and agentic workloads, shaping target architectures and guiding delivery from assessment to implementation. You will work with cross-functional teams to align workload and risk objectives with cloud, network, Kubernetes, and model-serving platforms. Expect hands-on oversight, architecture workshops, and reusable blueprints that scale across client engagements. This is a chance to influence secure AI delivery lifecycle and help mature platform security practices at scale.
Responsibilities: Lead secure AI landing-zone assessments, architecture workshops, and implementation programs across cloud, Kubernetes, and model-serving platforms Translate workload, risk, performance, and operational requirements into target architectures for managed and self-hosted AI environments Provide hands-on technical oversight through design reviews, IaC and policy decisions, configuration/code reviews, and issue resolution Manage engagement scope, teams, milestones, quality, and client expectations Coordinate dependencies across AI engineering, identity, data, application security, DevSecOps, and operations teams Shape solutions during pursuits with workshops, demos, PoCs, estimates, and delivery plans; develop reusable landing-zone blueprints, automation, and delivery methods Coach practitioners on engineering quality
Key requirements: 6+ years of combined cybersecurity and AI engineering experience with hands-on production work Experience architecting and leading production generative AI or agentic implementations, including decisions on models, orchestration, identity, data, and infrastructure Architecting and implementing secure AI landing zones across AWS, Azure, and/or Google Cloud Security infrastructure including private connectivity, segmentation, egress control, gateways, service meshes, secrets, encryption, and telemetry Implementing IaC, CI/CD, and policy-as-code using Terraform, CloudFormation, Bicep, Open Policy Agent, Gatekeeper, Kyverno, or similar tools Kubernetes configuration, deployment pipelines, and operational diagnostics Leading client-facing technology or cyber engagements with scope, teams, delivery timelines, and quality Coordinating across AI Engineering, Identity, Data, App Security, and DevSecOps teams Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field Ability to travel 20% to 50%; limited immigration sponsorship may be available Ability to work independently and as part of a team Effective written and verbal communication Meticulous attention to detail and quality Terraform, CloudFormation, Bicep; Open Policy Agent, Gatekeeper, Kyverno (policy-as-code) Kubernetes configuration and pipelines IaC, CI/CD

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Level

Lead

Location

New Orleans, LA

Occupation

Computer and Information Systems Managers

Industry

Computer Systems Design Services

Posted

today

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