AI & HPC Infrastructure Engineer
Accenture•Chicago, IL
fulltime
Strategy/Planning and Information Technology
5+ years
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.
Required Skills and Qualifications:
Minimum 5+ year experience with experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in hypescaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail
Deep knowledge of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions
Proficiency with cluster management and orchestration (Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks
Hands-on experience with cloud and virtualization platforms (AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible.
Understanding of implementing MLOps and DevSecOps frameworks to enable secure, automated, and reproducible workflows
Strong problem-solving, troubleshooting, communication, and collaboration skills to deliver reliable, scalable, and high-performance infrastructure solutions in fast-paced, dynamic environments that reward technical talent
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Preferred Skills and Qualifications:
Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled
Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm).
Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures)
Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments
Experience with HPC & AI workload management and optimization techniques
Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation
Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted on 02/12/2026 and open for at least 3 days.
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Hourly Salary Range
California $73,800 to $218,800
Cleveland $68,300 to $175,000
Colorado $73,800 to $189,000
District of Columbia $78,500 to $201,300
Illinois $68,300 to $189,000
Maryland $73,800 to $189,000
Massachusetts $73,800 to $201,300
Minnesota $73,800 to $189,000
New York $68,300 to $218,800
New Jersey $78,500 to $218,800
Washington $80,200 to $201,300
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