Sr. Systems Engineer

Applied Digital Corporation • Dallas, TX

3d

About The Position

At Applied Digital, we are the epicenter of AI innovation, crafting cutting-edge data center solutions tailored for the demands of high-performance computing. Designed from the ground up to support AI and machine learning workloads, our infrastructure is the backbone of tomorrow’s technological advancements, including AI-driven video and generative platforms. We are: Forward-Thinkers: With a keen eye on current market trends and future innovations, we adapt swiftly and lead technological evolution. Resilient: We navigate complex challenges and emerge stronger, delivering robust and reliable solutions for industry pioneers. Innovative Designers: Leveraging the latest technologies, we create visionary solutions that redefine industry standards. At Applied Digital, we are committed to solving intricate problems, advancing business initiatives, maximizing operational efficiency, and reducing our carbon footprint. We are a team of resilient, forward-thinking innovators driving the AI revolution.

Requirements

• Bachelor’s degree in computer science, Engineering, Information Systems, or related field; or equivalent experience.
• 10+ years in technology delivery, product, or solutions architecture roles, including 6+ years leading AI/automation initiatives in enterprise environments.
• Demonstrated track record of shipping production AI solutions (e.g., LLM agents, copilots, intelligent workflows, document/process automation) with measurable business impact.
• Strong understanding of LLM platforms and integration patterns, such as: Prompt engineering, tool/function calling, retrieval-augmented generation (RAG), embeddings/vector databases.
• Orchestration frameworks (e.g., Lang Chain, Semantic Kernel, agent frameworks) and workflow automation (e.g., Power Automate, UiPath, ServiceNow, Zapier for prototyping).
• API and event-driven integration with enterprise systems; secure secrets management and identity (OAuth, service principals).
• Experience establishing LLM Ops/ML Ops practices: evaluation frameworks, telemetry/observability, CI/CD for prompts and workflows, A/B testing, human-in-the-loop review.
• Proven ability to bridge business and engineering: requirements discovery, scoping, solution design, change management, and stakeholder communication up to the executive level.
• Working knowledge of security, compliance, and data governance for AI (data classification, PII/PHI handling, access controls, model risk management).
• Strong understanding of virtualization platforms (e.g., Proxmox), enterprise storage systems (SAN/NAS), and backup/recovery solutions.
• Demonstrated experience working with databases (SQL and/or NoSQL), including performance tuning, high availability, backup, and recovery strategies.
• Proficiency in automation tools and scripting languages including Ansible (Windows automation), PowerShell (required), Python, and Bash.
• Experience with modern Windows Server technologies, including Server Core, Nano Server, Windows Containers, and hybrid Azure integrations (Azure Arc, Windows Admin Center).
• Familiarity with advanced Windows security capabilities (Shielded VMs, Defender for Endpoint/ATP) and modern file-sharing technologies (e.g., SMB over QUIC).
• Strong experience using GitHub (or similar platforms) for version control, infrastructure-as-code workflows, and CI/CD pipeline integration.
• Solid understanding of modern AI-assisted coding tools.
• Experience with infrastructure monitoring, performance tuning, patching systems, and configuration management frameworks.
• Solid grasp of data center operational practices including structured cabling, hardware lifecycle management, and out-of-band access solutions.
• Strong documentation skills with experience using tools such as Visio, Miro, or similar diagramming platforms.
• Bachelor’s degree in computer science, Information Systems, Engineering, or related field (certifications such as Microsoft Certified: Windows Server Hybrid Administrator Associate, RHCSA, or equivalent a plus).

Responsibilities

• Deploy, configure, and manage Windows Server environments supporting core infrastructure and operations, leveraging automation.
• Administer Windows-based systems including Active Directory, Group Policy, DNS, DHCP, and related services.
• Use Ansible, PowerShell, Python, and other automation tools to orchestrate and manage configuration, deployment, and ongoing operations of Windows and Active Directory environments.
• Utilize Linux expertise to support cross-platform tools, system integration, and monitoring in hybrid environments.
• Collaborate closely with network, facilities, and security teams to support integrated infrastructure across multiple data center sites.
• Develop and maintain automation scripts and configuration standards to build a streamline system and improve reliability.
• Create and maintain documentation for system designs, standard operating procedures, and incident response guides.
• Troubleshoot and resolve issues across the full stack, from hardware through OS-level services.
• Support vulnerability remediation, patch management, and infrastructure hardening aligned with security and compliance frameworks.
• Coordinate with vendors and assist with system upgrades, refresh cycles, and integration of modern technologies.
• Participate in an on-call rotation and be available at times to perform after-hours maintenance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior