A

Accenture

Advises businesses and runs their technology

AI Infrastructure Architect

Platform EngineeringUpdated on Nov 14
Full-timeTampa, FL, USA$118.3k - $295.1kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • At least 5 years of experience with knowledge of high-performance computing and artificial intelligence solution technologies, including hardware, hypervisors, CPUs, and GPUs.
  • At least 5 years of experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes.
  • At least 5 years of experience with Linux distributions such as Red Hat and Ubuntu, networking including routing and switching, Linux internals, access control lists, operating-system-level security protection, and common protocols such as TCP, DHCP, and DNS.
  • At least 5 years of experience with storage solutions such as Lustre, GPFS, ZFS, and XFS, and familiarity with newer and emerging storage technologies.
  • At least 5 years of experience with automation and configuration-management tools such as Python and Bash within GitOps workflows.
  • At least 5 years of experience with networking protocols such as InfiniBand and Ethernet.
  • At least 5 years of experience with private cloud platforms such as VMware, Hyper-V, KVM, OpenShift, and Nutanix.
  • At least 5 years of familiarity with public cloud computing platforms such as AWS and Azure.
  • Must possess and maintain required Department of Defense 8140 certifications.
  • Must hold an active TS/SCI federal security clearance.
  • Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship.

Responsibilities

  • Design, deploy, and maintain high-performance computing and artificial intelligence clusters.
  • Manage artificial intelligence job workflows using scheduling technologies such as Kubernetes.
  • Support and maintain continuous integration and continuous delivery pipelines.
  • Troubleshoot and fix issues from the bare-metal layer through the operating system, software stack, and application level.
  • Support research, development, and operational activities.
  • Work with scientific researchers, developers, customers, and high-performance computing, operating-system, GPU-compute, and systems specialists to architect, develop, and bring up large-scale performance platforms.

Desired Qualifications

  • Knowledge of GPU architectures, time-slicing, and multi-instance GPU (MIG).
  • Experience with container orchestration technologies such as Kubernetes and Docker.
  • Experience designing and deploying artificial intelligence workflow technologies such as Apache Airflow, Prefect, and Dagster.
  • Background with remote direct memory access (RDMA) fabrics, including InfiniBand or RoCE.
  • Experience working in regulated industries and applying compliance requirements such as DISA STIG and CIS.
  • NVIDIA certifications in AI infrastructure, AI operations, or AI networking.
  • VMware Certified Professional or Advanced Professional certifications.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs