Accenture

Compensation

Full Description

We Are: The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle—from strategy and architecture through implementation and operations—driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what’s possible in infrastructure. Key Responsibilities: • Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs • Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings • Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments • Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks • Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency • Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks • Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.