Solutions Architect

Solutions Architect Requisition Number: 105375 Location: Ft Worth, TX, US, 76140 Work Arrangement: This is a hybrid work opportunity in our Fort Worth, TX office. About the role We’re looking for an early‑career engineer who wants to get their hands on real, complex infrastructure — on‑prem AI compute and hybrid cloud across all three major hyperscalers — in an R&D setting where experimentation is encouraged and learning is built into the work. You’ll grow alongside experienced engineers and build toward a Senior Architect track over time. Duties include: Support and maintain on‑prem GPU cluster infrastructure used for AI training, inference, and R&D workloads. Work hands‑on with all three major hyperscalers (AWS, Azure, GCP), including AI/ML services and experimental deployments. Use AI developer tools (GitHub Copilot, Claude Code, Google Gemini) as part of your everyday workflow. Build, rack, cable, and configure servers, GPU hardware, network switches, and storage devices in a lab environment. Support POC and testing environments — standing things up, validating them, and tearing them down as needed. Monitor system performance, troubleshoot hardware and software issues, and perform routine maintenance. Assist with system administration: user management, software deployment, and basic network configuration. Participate in infrastructure automation efforts including Ansible playbook execution and containerization. Document lab processes and procedures, and infrastructure configurations. What we’re looking for: Bachelor’s degree in CS, IT, or related field — or equivalent experience that shows you know your stuff. Genuine curiosity about infrastructure, AI systems, and how things work at a low level. Strong troubleshooting instincts and a “I’ll figure it out” mindset. Clear communicator — comfortable talking to both internal teammates and partners. Hands‑on experience with Windows and/or Linux/Unix — even on your own hardware. Scripting in Python, Bash, or PowerShell. GPU hardware familiarity or exposure to AI/ML compute infrastructure. Physical infrastructure knowledge (not exhaustive): Lenovo, Dell, Cisco, HPE, NetApp & Everpure. Infrastructure‑as‑code: Ansible, Docker, or Kubernetes. Equal Opportunity Employer Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. #J-18808-Ljbffr Insight Enterprises, Inc.