Accenture
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 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail
Minimum 4+ years’ experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions
Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks
Minimum 4+ years’ experience with cloud and virtualization platforms (e.g. 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.
Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, 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 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 accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)
Role Location Annual 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/New Jersey $68,300 to $218,800
Washington $78,500 to $201,300
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-3/Accenture-Equal-Employment-Opportunity-Statement.pdf#zoom=50)
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
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 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail
Minimum 4+ years’ experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions
Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks
Minimum 4+ years’ experience with cloud and virtualization platforms (e.g. 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.
Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, 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 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 accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)
Role Location Annual 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/New Jersey $68,300 to $218,800
Washington $78,500 to $201,300
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-3/Accenture-Equal-Employment-Opportunity-Statement.pdf#zoom=50)
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.