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Director AI Ready Endpoint Infrastructure Security
Job in
Northern, Floyd County, Kentucky, USA
Listed on 2026-08-24
Listing for:
Vectrus, Inc
Full Time
position Listed on 2026-08-24
Job specializations:
-
IT/Tech
Cybersecurity
Job Description & How to Apply Below
Overview
About Us:
Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $4.5B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.
ResponsibilitiesWhat You'll Do:
- The Director of AI-Ready Endpoint Infrastructure & Security is a senior technical leadership role responsible for the strategy, architecture, and operations of the enterprise endpoint ecosystem — built for both human users and AI agents as first-class workloads. Reporting to the VP of Intelligent Automation and IT Operations, this leader will build and operate a modern, automated, and security-hardened endpoint environment as a foundational pillar of the organization’s greenfield IT operational model.
This role encompasses unified endpoint management (UEM), endpoint detection and response (EDR), device lifecycle automation, compliance enforcement, and the emerging mandate to provision endpoints as AI compute platforms capable of hosting on-device AI agents and local model inference. The Director will ensure all endpoints are continuously compliant, observable, and resilient — eliminating manual toil through automation, enabling the broader Zero Trust architecture strategy, and preparing the device fleet to serve the AI-First IT model where endpoints host both human users and intelligent agents as collaborators and stakeholders.
- Unified Endpoint Management (UEM)
- Architect and operate a unified endpoint management platform (Microsoft Intune, Jamf, or equivalent) spanning Windows, macOS, iOS, Android, and Linux device types.
- Define and enforce device configuration baselines, compliance policies, and conditional access rules aligned to CIS Benchmarks and organizational security standards.
- Lead the design and automation of the full device lifecycle — from zero-touch provisioning and onboarding through offboarding and secure decommission.
- Implement enrollment programs to enable touchless device deployment for remote and distributed work forces.
- Agent-Ready Device Architecture
- Define and implement the architecture for AI-ready endpoints: provision devices as platforms capable of hosting on-device AI agents, local LLM inference, and edge AI processing workloads.
- Establish device hardware standards and lifecycle criteria that account for AI compute requirements, including NPU availability, memory, and storage for on-device model execution.
- Collaborate with the AI Platform & Fabric Engineer to define the endpoint requirements for running AI agents as first-class workloads — including agent identity, sandboxing, resource limits, and behavioral monitoring on the device.
- Build management and observability capabilities for AI agents running on endpoints: monitor agent resource consumption, enforce policy, and detect anomalous agent behavior.
- Ensure that agent-ready endpoint provisioning is integrated into the zero-touch device lifecycle — agents are deployed, updated, and decommissioned through the same automated pipeline as device operating systems and applications.
- Endpoint Detection & Response (EDR) and Security
- Own the enterprise EDR platform ensuring full coverage, policy enforcement, and continuous monitoring across all managed endpoints.
- Collaborate with the CISO and security operations center (SOC) to ensure endpoint telemetry is integrated into SIEM and XDR platforms for correlated threat detection.
- Drive endpoint hardening initiatives including application control, script block logging, attack surface reduction (ASR) rules, and privileged access workstation (PAW) configurations.
- Extend EDR monitoring to detect and respond to anomalous AI agent behavior on endpoints — including unauthorized model access, unexpected data exfiltration, and agent privilege escalation.
- Lead response efforts for endpoint-originated security incidents, coordinating containment, investigation, and…
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