Apply on Employer Site

Accenture · 3 days ago

AI & HPC Infrastructure Architect

Chicago, IL

Full-time

Hybrid

Mid, Senior Level

$94K/yr - $316K/yr

4+ years exp

Accenture is a leading global professional services company, and they are seeking an AI & HPC Infrastructure Architect to enable infrastructure reinvention powered by AI and High-Performance Computing. The role involves defining and architecting AI and HPC infrastructure strategies, leading client workshops, and providing thought leadership on emerging technologies.

Business Information SystemsConstructionConsultingInformation ServicesInformation TechnologyInfrastructureManagement ConsultingOutsourcing

No H1B

Responsibilities

Define and architect AI and HPC infrastructure strategies, selecting the right on-premises, cloud, and hybrid platforms, tools, and workflows to support diverse workload requirements

Develop end-to-end architecture roadmaps tailored to industry or functional needs, aligning business objectives with technical capabilities

Lead client workshops, assessments, and training sessions to guide adoption of AI/HPC technologies, best practices, and operating models

Provide thought leadership on emerging technologies (accelerators, composable systems, orchestration frameworks) to inform client strategies and enhance future-state designs

Qualification

AI infrastructure architectureHPC infrastructure architectureOrchestration frameworksMLOpsDevSecOpsInfrastructure componentsCloud certificationsAI/ML frameworksClient engagementThought leadershipWorkload optimization

Required

Minimum 4+ years' experience advising and engaging with C-Suite executives and senior leadership, translating complex AI and HPC technologies into business and strategic value

Minimum 4+ years of experience with infrastructure components including XPUs, high-performance fabrics (InfiniBand, Ethernet), and modern storage/data platforms (e.g. NVMe-oF, Lustre, BeeGFS, VAST, DDN, Weka)

Minimum 4+ years' experience with orchestration and management frameworks (Slurm, Kubernetes, Docker) and performance/monitoring tools for AI/HPC environments

Minimum 4+ years' experience of MLOps, DevSecOps, and automation principles (Terraform, Ansible) as they apply to large-scale, secure, and reproducible workflows

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Preferred

Experience advising or overseeing large-scale AI/HPC deployments (1,000+ GPUs or clusters of 100+ servers), providing architecture and strategic guidance

Familiarity with GPU computing and accelerator ecosystems (NVIDIA CUDA, AMD ROCm) and integration considerations for HPC/AI workloads

Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and their operational and performance implications in HPC/AI environments

Industry experience in Life Sciences, Resources, Automotive, Financial Services, Telecommunications, or other HPC/AI-intensive sectors

Relevant cloud or infrastructure certifications (e.g., AWS Solutions Architect, GCP Professional Data Engineer) or equivalent technical credentials

Experience in workload planning, optimization, and orchestration guidance to align infrastructure with business and research objectives