<p>Our client is seeking a Level 2 Network Engineer to support and enhance a multi-site network environment. This role is ideal for someone who has progressed beyond entry-level network support (L1) and is ready to take on more hands-on responsibilities with routing, switching, and troubleshooting. The position offers a mix of project work, operational support, and equipment deployment in a dynamic environment undergoing ongoing infrastructure upgrades.</p><p>This individual will spend approximately half their time contributing to network-related projects, with the remaining time focused on troubleshooting, issue resolution, and preparing network equipment for deployment. The environment includes recent and ongoing initiatives such as SD-WAN implementation, wireless upgrades, and evolving Cisco-based infrastructure.</p><p><br></p><p><strong>POSITION: NETWORK ENGINEER LEVEL 2 (MID-LEVEL)</strong></p><p><strong>LOCATION: ARLINGTON, TX</strong></p><p><strong>DURATION: 3 MONTH CONTRACT TO PERMANENT</strong></p><p><strong>SALARY: 75-80K</strong></p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Configure, maintain, and troubleshoot routers, switches, VPN tunnels, and related network infrastructure across multiple locations</li><li>Diagnose and resolve connectivity issues, including port-level troubleshooting and traffic analysis</li><li>Support network projects such as hardware upgrades, SD-WAN enhancements, and wireless deployments</li><li>Monitor network performance and implement adjustments to improve reliability and efficiency</li><li>Deploy and stage network equipment for new site builds or replacements</li><li>Implement and maintain firewall rules, security controls, and firmware updates</li><li>Document configurations, network changes, and incident resolutions while communicating updates to stakeholders</li></ul><p><br></p>
<p>We are looking for a Network Administrator to support and strengthen a complex enterprise network environment in DFW. This position focuses on building reliable Cisco-based infrastructure, improving connectivity across cloud and on-premises systems, and helping maintain secure, high-performing communications platforms. The ideal candidate brings strong technical depth in networking, voice, and infrastructure operations, along with the ability to resolve issues that affect critical business services.</p><p><br></p><p>Responsibilities:</p><p>• Architect, deploy, and refine Cisco network solutions spanning routing, switching, and firewall technologies to ensure dependable enterprise connectivity.</p><p>• Manage SD-WAN implementation efforts and continuously improve performance, resiliency, and overall network efficiency.</p><p>• Administer and support VoIP platforms, with an emphasis on maintaining stable voice services and addressing service disruptions promptly.</p><p>• Oversee highly available network operations across hybrid cloud environments, including platforms integrated with Azure and on-premises infrastructure.</p><p>• Work closely with cybersecurity stakeholders to apply network protection standards, strengthen access controls, and support compliance objectives.</p><p>• Investigate and resolve advanced infrastructure incidents affecting business-critical systems, using a methodical and service-focused approach.</p><p>• Execute lifecycle maintenance activities such as patching, hardware and software upgrades, and ongoing capacity or performance improvements.</p><p>• Participate in an on-call rotation to provide timely support for urgent infrastructure events in a fast-moving operational setting.</p>
<p><br></p><p>The Infrastructure Engineer is responsible for designing, implementing, and supporting enterprise network and infrastructure systems across a multi-building environment. This individual will serve as a hands-on technical resource, owning day-to-day network operations while also leading infrastructure upgrades and modernization efforts. The role requires a strong networking foundation combined with the ability to support systems, users, and ongoing projects in a small, fast-paced IT environment.</p><p><br></p><p><strong>Title: Infrastructure Engineer </strong></p><p><strong>Location: Grand Prairie, TX </strong></p><p><strong>Duration: 3 Month Contract to Hire </strong></p><p><strong>Salary: 120k - 130k</strong></p><p><br></p><p><strong>Responsibilities</strong>:</p><ul><li>Design, implement, and support LAN/WAN, VPN, wireless networks, and core infrastructure across multiple locations, including switches, routers, VLANs, and trunking</li><li>Troubleshoot and resolve network and connectivity issues, serving as the escalation point and primary responder for outages and performance problems</li><li>Manage and maintain network hardware and environments, including configuring switches, upgrading access points, and supporting infrastructure across multiple buildings</li><li>Support infrastructure projects such as wireless upgrades, security deployments, COLO environment setup, and migration from legacy systems to modern platforms</li><li>Provide hands-on support across IT operations, including end-user support, server configuration, virtualization support, and general infrastructure maintenance</li></ul><p><br></p>
<p>We are looking for an experienced AI Architect to shape and deliver enterprise AI capabilities that support global business operation. This position focuses on creating scalable architectures for generative AI, machine learning, intelligent automation, and advanced analytics while aligning technical strategy with business goals. The role will work closely with executives, IT leaders, and cross-functional teams to establish a practical AI roadmap and bring secure, production-ready solutions into day-to-day operations.</p><p><br></p><p>Responsibilities:</p><p>• Develop enterprise-wide AI architecture standards, reference models, and implementation guidelines to support consistent solution delivery across business functions.</p><p>• Design and deploy scalable platforms for generative AI, agent-based systems, machine learning, and analytics that can operate effectively in a global environment.</p><p>• Establish governance practices covering model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management.</p><p>• Partner with senior stakeholders to identify high-impact opportunities where AI can improve operational performance, decision-making, and business outcomes.</p><p>• Lead the architecture and rollout of AI-enabled assistants, knowledge tools, and automated workflows integrated with core enterprise applications and internal data sources.</p><p>• Create robust API, microservices, and orchestration patterns that enable reliable integration of AI services with business platforms and custom solutions.</p><p>• Build and refine retrieval-augmented generation solutions, vector-based search capabilities, prompt frameworks, and enterprise knowledge access models.</p><p>• Work with data engineering and platform teams to implement scalable AI pipelines, MLOps and LLMOps practices, monitoring, and cloud-based deployment patterns across major cloud environments.</p><p>• Evaluate emerging vendors, tools, and proof-of-concept solutions while guiding technical teams through architecture decisions, implementation challenges, and best practices.</p>