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Added 4 mins ago
Sr. Solutions Consultant
Sprinklr
Remote, United States
…confidence and excitement around Sprinklr’s suite of products and integrations with customer…
Added 5 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Austin, TX
…management and gateway platform through which AI services, integrations, and agent traffic are published, secured, and monitored, and on the enterprise AI tools in use across the business:…
Added 5 mins ago
BeyondTrust PAM Engineer
Cognizant
Coppell, TX
· Coordinate PAM integrations and dependencies with Active Directory, MFA, SIEM, ITSM, infrastructure, application, database, network, and security teams.
Added 5 mins ago
T
Senior Desktop Test Automation Engineer
TEKsystems
Round Rock, TX
- $55 to $60 USD / hour
Dell is seeking a Senior Desktop Test Automation Engineer / SDET to own and architect automated testing for Elevation Builder, a Windows desktop application used by Dell's pre-sales…
Added 5 mins ago
Enterprise Architecture Manager, Senior Vice President
Citigroup
Irving, TX
…structural impact assessments on core operating platforms to engineer proactive systemic…
Added 6 mins ago
G
Forward Deployment Agentic Engineer
Guidehouse
SAN ANTONIO, TX · HOUSTON, TX
- $70,000 to $116,000 USD / year
Build and support agentic AI solutions using Claude, API integrations, and modern application development practices.
Added 6 mins ago
OneStream Lead Analytics and Insights Engineer II Manager
Deloitte
Houston, TX · Fort Worth, TX · Westlake, TX · Dallas, TX
Oversee integrations between OneStream and enterprise platforms, including enterprise resource planning and data warehouse environments
Added 6 mins ago
C
AI Data Engineer
Cognizant
Austin, TX
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 6 mins ago
C
AI Data Engineer
Cognizant
Austin, TX
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 6 mins ago
GRC Architect/ Information Security Manager- US
DXC Technology
Austin, TX
Build integrations between Archer and other enterprise systems
Added 40 mins ago
Technical Support Engineer
RadNet
Somerville, MA
The Technical Support Engineer L1 - Strategic Accounts serves as a dedicated technical support resource for DeepHealth's strategic and high-value customer accounts, providing advanced…
Added 49 mins ago
Founding Product Engineer
Raydar
San Francisco, CA
Raydar is recruiting for this role on behalf of our client. Work as a hands-on engineer who builds product features and also spends significant time with customers, handling integrations,…
Added 1 hour ago
Senior Software Support Engineer - Slinky
NVIDIA USA
Remote, United States
We are seeking an expert Senior Support Engineer with a strong background in Kubernetes, Linux systems administration, and technical support. This hybrid role is primarily focused on…
Added 1 hour ago
TT
Founding Senior Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $225,000 USD / year
- Build reliable integrations with commerce, advertising, and marketing platforms, along with orchestration tooling.
Added 1 hour ago
IT Security Engineer
CoolSys
UNAVAILABLE
We are seeking a mid-level Security Engineer to support security operations across a geographically distributed, multi-architecture environment. This role is intended for an engineer with 4…
Added 1 hour ago
Marketing Lead
Flint
San Francisco, CA
- Comfortable with product tooling and integrations (APIs, Zapier, Clay-like automations).
Added 1 hour ago
Delivery(Post-Sale) Solutions Engineer
Kastel Staffing
New York City, NY
Act as a technical focal point for integrating clients, have the technological savviness required to demonstrate and prototype integrations in merchant environments
Added 1 hour ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $230,000 USD / year
Join an early-stage AI customer success software team as a Founding Forward Deployed Engineer. You will work directly with enterprise customers to put AI agents into production, deliver…
Added 2 hours ago
RH
Software Engineer
Robert Half
Remote, United States
- $55 to $63 USD / hour
…interoperability solutions. We are seeking a Senior .NET Software Engineer with strong Microsoft technology expertise to design, build, and maintain scalable applications and integrations…
Added 2 hours ago
PowerApps Engineer
Robert Half
Fort Lauderdale, FL
We are looking for an experienced PowerApps Engineer to support enterprise Power Platform initiatives for a client in Fort Lauderdale, Florida. This Long-term Contract position focuses on…
Added 2 hours ago
Substation SCADA Engineer
Rosendin
Coppell, TX
The SCADA Engineer III - EPC is responsible for the design, integration, commissioning, and troubleshooting of SCADA systems supporting utility-scale solar photovoltaic (PV), battery energy…
Added 2 hours ago
Infrastructure Engineer, Enterprise AI
Wonder Group, INC
Remote, United States
Wonder’s Enterprise Technology team is hiring an Infrastructure Engineer to establish and scale the hosting, deployment, and integration foundations that support builders of all technical…
Added 2 hours ago
SO
Software Engineer (Systems Programmer/Developer III) - 61161323
State of South Carolina
West Columbia, SC
- $67,728 to $121,890 USD / year
The South Carolina Department of Education is seeking a skilled Software Engineer to design, build, and support the applications and integrations that serve students, educators, and…
Added 3 hours ago
IAM Engineer
SpaceXSI
Austin, TX · Palo Alto, CA · Washington, DC
We are looking for an Identity and Access Management (IAM) Engineer to play a critical role in designing, implementing, and maturing our enterprise IAM ecosystem. As a Senior IAM Engineer,…
Added 3 hours ago
Offensive Security AI Engineer
Micron Technology
Boise
AI will be used as a force multiplier throughout the testing lifecycle. The engineer will apply AI-assisted techniques to accelerate reconnaissance, analyze attack paths, develop and debug…

Accenture

AI & HPC Infrastructure Engineer

Saint Louis, MO, United States

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Job details

Posting language: English

Original job description

Summary

We Are:

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads. We bring together deep technical expertise across cloud, on-premises, and hybrid environments to design, build, and operate advanced infrastructure that powers AI platforms, GPU-accelerated workloads, large-scale models, simulations, and emerging agentic AI solutions at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, governance, 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 infrastructure to drive breakthrough innovation and reimagine what is possible.

Key Responsibilities:

+ Design and implement AI infrastructure and accelerated computing solutions, aligning system architecture and deployment roadmaps to industry-specific performance, scalability, resiliency, and governance needs

+ Deploy, configure, and manage XPU-based clusters (GPU, DPU, LPU, CPU) across bare-metal and containerized environments using workload schedulers (Slurm, Run:ai), Kubernetes orchestration, and container platforms to deliver scalable AI infrastructure services including Bare-Metal-aaS, GPUaaS, AIaaS, Token-aaS, model serving, and agentic AI frameworks

+ Integrate AI infrastructure platforms with existing IT systems, data pipelines, security frameworks, model-serving endpoints, and enterprise governance controls

+ Design and implement agentic AI infrastructure by integrating platform services, model endpoints, tool and function calling, retrieval patterns, and workflow orchestration with observability, identity, and policy controls through secure, deterministic APIs to support governed enterprise use cases

+ Build and integrate MCP servers, tools, connectors, and adapters that allows agents to monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency

+ Architect and deploy with NVIDIA platform tools including Base Command Manager (BCM), NGC, NCCL, NVLink, and CUDA along with LLM inference engines (TensorRT-LLM), production serving frameworks (vLLM, SGLang), inference orchestration (Triton Inference Server, NVIDIA Dynamo, llm-d), and GPU benchmarking and validation tools (MLPerf, NCCL tests, fio, iperf) to deploy, tune, profile, and validate AI cluster performance across compute and networking layers including multi-node training and inference workloads

+ Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks

+ Provide technical guidance, troubleshooting, and optimization across AI workloads including large-scale training, inference, multi-node simulations, and agentic pipelines while leveraging digital twins to validate infrastructure and drive performance, scalability, energy efficiency, and token cost optimization

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 of 5+ years of experience designing, deploying, and managing AI infrastructure and accelerated computing environments across on-premises, cloud, and hybrid environments for hyperscaler, neocloud, large enterprise, Telco/Mobile, Financial Services, Life Sciences, Manufacturing, and/or Retail clients.

+ Minimum of 5+ years of hands-on experience with accelerated computing platforms, including GPUs, DPUs, LPUs, CPUs, high-speed interconnects such as InfiniBand or Ethernet, data center networking such as SONiC, and AI storage architectures including NVMe, NVMe-oF, parallel file systems, VAST, Weka, or DDN.

+ Minimum of 5+ years of experience with cluster management, workload scheduling, orchestration, observability, and infrastructure automation using platforms and tools such as Kubernetes, Slurm, Run:ai, AWS, Azure, GCP, VMware, Nutanix, Python, Terraform, and Ansible.

+ 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:

+ 2+ years of experience implementing MLOps, LLMOps, agentic AI, and DevSecOps frameworks to enable secure, automated, governed, and reproducible AI workflows.

+ 2+ years of experience developing APIs, integration services, automation workflows, or platform services using Python and modern API patterns such as REST, OpenAPI, JSON/YAML schemas, webhooks, and event-driven integrations.

+ Experience designing and implementing agentic AI infrastructure, including LLM inference, tool/function calling, retrieval-augmented generation (RAG), agent orchestration, secure API integration, policy-based governance, and deterministic platform APIs.

+ Experience building and integrating MCP servers, tools, connectors, and adapters that allow agents to monitor, troubleshoot, and tune infrastructure for high availability, low-latency networking, workload resiliency, and intelligent observability.

+ Experience using NVIDIA platform tools including Base Command Manager (BCM), NGC, NCCL, NVLink, CUDA, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, llm-d, vLLM, SGLang, MLPerf, NCCL tests, fio, and iperf to deploy, tune, profile, and validate AI cluster performance.

+ Experience managing the deployment of 1,000+ GPU clusters for AI, HPC, and agentic AI workloads with infrastructure services enabled.

+ Design and build experience in AI Cloud platforms from CoreWeave, Nebius, and other specialty cloud providers.

+ Knowledge of machine learning and AI frameworks such as TensorFlow, PyTorch, JAX, Jupyter notebooks, and Google Colab environments.

+ Industry certifications in NVIDIA infrastructure, public cloud providers, data science, infrastructure automation, networking, or security 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 until 10/15/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary Range

California $94,400 to $266,300

Colorado $94,400 to $230,000

Connecticut $94,400 to $230,000

District of Columbia $100,500 to $245,000

Illinois $87,400 to $230,000

Maine $80,400 to $196,000

Maryl...

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