Director Adaptive Network Infrastructure & Security

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.

What You'll Do:

• The Director of Adaptive Network Infrastructure & Security is a senior technical leadership role responsible for designing, implementing, and operating a modern, self-adapting, AI-optimized network that serves as the transport backbone for the organization’s enterprise AI Fabric. Reporting to the VP of Intelligent Automation and IT Operations, this leader will drive the transition to a Zero Trust architecture, manage all aspects of core networking and telecommunications, deploy Secure Access Service Edge (SASE) capabilities, and ensure the network is purpose-built to carry AI workloads — including low-latency inference traffic, and agent-to-agent communication. This role is critical to establishing a greenfield IT operational environment, building a network foundation that is resilient, AI-aware, and compliant from day one. In the AI-First IT model, infrastructure is no longer static and human-managed — it is dynamic, AI-optimized, and self-adapting. This director will lead that transformation.

Key Responsibilities:

• Zero Trust Architecture & Implementation
  • Architect and lead the enterprise-wide implementation of a Zero Trust Network Access (ZTNA) framework aligned to NIST 800-207 and CMMC compliance requirements.
  • Define and enforce network segmentation, micro-segmentation, and least-privilege access policies across all environments — for human users, devices, and AI agents alike.
  • Integrate identity-aware networking principles to ensure all users, devices, automated workloads, and AI agents are continuously verified before gaining network access.
  • Extend Zero Trust policies to cover machine identities: define ZTNA access controls for AI agents, automation pipelines, and non-human actors operating within the network environment.
  • Collaborate with the CISO and security teams to embed security-by-design into all network architectures and lifecycle decisions.
  • Manage secrets, credentials, and sensitive configuration data securely.

• SASE Design & Deployment
  • Lead the evaluation, selection, and deployment of SASE platforms to unify network and security functions at the edge.
  • Implement Cloud Access Security Broker (CASB), Secure Web Gateway (SWG), and Firewall-as-a-Service (FWaaS) capabilities within the SASE framework.
  • Drive the migration to a cloud-delivered, identity-centric access model.
  • Manage ongoing performance tuning, policy management, and vendor relationships for all SASE technologies.
  • Ensure SASE policies explicitly address AI agent traffic, model API calls, and automated workload egress — not only human user sessions.

• AI Fabric Network Architecture
  • Design and operate the network as an AI transport fabric: architect low-latency, high-throughput network paths optimized for AI model inference traffic, LLM API calls, and real-time agent communication.
  • Define AI-aware Quality of Service (QoS) policies that prioritize AI workload traffic appropriately alongside standard enterprise traffic.
  • Collaborate with the AI Engineering team to ensure the network layer meets the performance, reliability, and latency requirements of the AI Fabric and agent orchestration platforms.
  • Monitor and optimize network performance for AI workloads using telemetry data, proactively identifying and remediating bottlenecks in the AI traffic path.

• Core Networking & Telecommunications
  • Oversee the operations of enterprise the campus network infrastructure.
  • Manage telecommunications infrastructure including voice, unified communications, and carrier relationships.
  • Ensure network availability, capacity, and performance meet 99.99% SLA targets across all sites and remote environments.
  • Lead network lifecycle management including hardware refresh, end-of-life planning, and vendor contract negotiations.

• Network Automation & Self-Adapting Infrastructure
  • Champion network automation using Ansible, Terraform, and Python-based scripting to eliminate manual configuration and reduce operational toil.
  • Implement workflows for network configuration management, change control, and compliance auditing.
  • Deploy network monitoring and observability platforms to enable proactive incident detection and AI-driven automated remediation.
  • Integrate network telemetry data into the AIOps platform to support intelligent operations, anomaly detection, and predictive capacity planning.
  • Build toward a self-adapting network model where AI systems can dynamically adjust routing, segmentation, and QoS policies in response to real-time demand signals — with appropriate human oversight thresholds.

• Compliance & Governance
  • Ensure all network architectures and operations are compliant with NIST 800-171, CMMC Level 2, and applicable federal regulations.
  • Develop and maintain network security policies, standards, and runbooks that explicitly address AI agent network access and machine identity governance.
  • Participate in audits, assessments, and continuous monitoring programs to demonstrate compliance posture.
  • Provide executive-level reporting on network health, AI workload performance, risk posture, and strategic initiatives.

Qualifications

• Education
  • Bachelor’s degree in Information Technology, Computer Science, Network Engineering, or related field.
  • Ability to obtain and maintain CMMC Level 2 certification.
• Experience:
  • A minimum of twelve (12) years of experience in network engineering and/or security operations.
  • A minimum of five (5) years of experience in a senior or lead technical leadership capacity.
  • Demonstrated hands-on experience implementing Zero Trust architectures in enterprise environments.
  • Direct deployment experience with SASE platforms.
  • Strong background in SD-WAN, LAN/WAN,, and enterprise switching.
  • Experience designing or operating network infrastructure for AI or high-performance compute workloads preferred.
  • Familiarity with machine identity management and ZTNA policies for non-human actors (AI agents, automation pipelines).
  • Experience with network automation tools including Ansible, Terraform, and Python.
  • Experience in the government contractor/services industry preferred.
  • U.S. Citizenship required; ability to obtain and maintain a security clearance
• Other Requirement:
  • United States citizenship required.
  • Ability to travel to project and customer locations as needed.
• Preferred Requrirements:
  • Master’s degree preferred.
  • Active Secret security clearance desired.
  • Experience with FedRAMP-authorized cloud networking platforms.
  • Familiarity with GPU cluster networking, InfiniBand, or RDMA over Converged Ethernet (RoCE).
  • Experience with AI-aware QoS and network traffic engineering for LLM inference workloads.
• Skills:
  • Deep expertise in Zero Trust frameworks and SASE architecture.
  • Understanding of AI workload network requirements: low-latency inference, agent-to-agent traffic.
  • Knowledge of machine identity management and ZTNA policy design for AI agents and automated systems.
  • Proficiency in network automation and infrastructure-as-code methodologies.
  • Strong vendor management and contract negotiation capabilities.
  • Excellent communication skills with the ability to present technical concepts to executive audiences.
  • Demonstrated ability to lead cross-functional teams in complex, matrixed environments.

What We Bring:

• • At V2X we strive to be market competitive in our total reward offerings.
  • The successful candidate’s starting pay will be based on, but not limited to, their job-related skills, experience, qualifications, work location, and market conditions.
  • The following salary range is intended to display the value of the company’s base pay compensation and may be modified at the discretion of the company.
  • USD $220,000 - $240,000
  • Provided salary range minimum and maximum values correspond to variances between regional/geographic locations across the United States.
  • Please speak with a recruiter for additional information.
  • Employee benefits include the following:
    • Healthcare coverage
    • Life insurance, AD&D, and disability benefits
    • Retirement plan
    • Wellness programs
    • Paid time off, including holidays
    • Learning and Development resources
    • Employee assistance resources
  • Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.