AI Infrastructure Architect
Accenturefederalservices · Arlington, VA
About this role
**AI Infrastructure Architect** **About Accenture Federal Services (AFS)** At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer—and life better for people. Join a collaborative, caring community where you’re empowered to grow through hands-on experience, certifications, and industry training. **Role Overview** AFS is seeking a **Senior HPC and AI Cluster Administrator** to support software and data solutions for customers. You’ll help integrate supercomputers and AI clusters using existing technologies, and architect, develop, and bring up large-scale performance platforms. You’ll work closely with scientific researchers, developers, and customers, collaborating across **HPC, OS, GPU computing, and systems**. **Responsibilities** - Design, deploy, and maintain **HPC/AI clusters** - Manage **AI job workflows** using scheduling/orchestration tools such as **Kubernetes** - Support and maintain **CI/CD pipelines** - Troubleshoot and fix issues from **bare metal** through the OS, software stack, and application layers - Support **Research, Development, and Operational** activities **Qualifications** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) - **5+ years** of experience - Knowledge of HPC/AI solution technologies including **hardware, hypervisors, CPU’s, and GPU’s** - Experience with job scheduling/orchestration tools such as **Slurm** and **Kubernetes** - Strong Linux knowledge (e.g., **Red Hat, Ubuntu**), including networking (routing/switching), internals, **ACLs**, OS-level security, and protocols such as **TCP, DHCP, DNS** - Experience with storage solutions such as **Lustre, GPFS, ZFS, xfs** (including familiarity with newer/emerging storage) - Automation/configuration management using **Python** and **Bash** within **GitOps** workflows - Knowledge of networking protocols such as **InfiniBand** and **Ethernet** - Experience with private cloud platforms (e.g., **VMware, Hyper-V, KVM**) - Familiarity with public cloud platforms (e.g., **AWS, Azure**) **Preferred Qualifications** - Knowledge of **GPU architectures**, time-slicing, and **MIG (Multi-Instance GPU)** - Experience with container orchestration (e.g., **Kubernetes, Docker**) - Experience designing/deploying AI workflow technologies such as **Apache Airflow, Prefect, Dagster** - Background with **RDMA** fabrics (InfiniBand or RoCE) - Experience in regulated industries and applying compliance requirements (e.g., **DISA STIG, CIS**) - **NVIDIA certifications** (AI Infrastructure, AI Operations, AI networking) - **VMware certifications** (Certified Professional / Advanced Professional) **Clearance** - **Active TS/SCI federal security clearance required** **Compensation (where applicable)** - **$124,000 – $246,400 USD** (base pay range for listed locations) *Note: Benefits and additional employment statements are included in the original posting.*
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