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Added 34 mins ago
Lead Distributed Systems Engineer (AI/ML Platform) - Watertown, MA
Kelly Services
Watertown, MA
A fast-growing AI and data platform company is seeking a Lead Distributed Systems Engineer (AI/ML Platform) to architect and scale the infrastructure that powers enterprise AI and machine…
Added 34 mins ago
Principal Identity Security Engineer - Natick, Ma
Kelly Services
Natick, MA
A leading technology organization is seeking a Principal Identity Security Engineer to join a team focused on securing and modernizing enterprise identity platforms across a complex hybrid…
Added 34 mins ago
C
Customer Success Program Manager - Food
Carrier
Beverly, MA
- $79,000 to $158,000 USD / year
…chain logistics. By combining our world-class IoT hardware infrastructure with Carrier's advanced digital data insights, we enable the world’s leading brands to track, protect, and optimize…
Added 34 mins ago
Senior Life Sciences Data Engineer - Cambridge, MA
Kelly Services
Cambridge, MA
A rapidly growing Scientific AI and Data Platform company is hiring a Senior Life Sciences Data Engineer to help build the next generation of data infrastructure powering pharmaceutical and…
Added 34 mins ago
T
M365 Support Engineer
TEKsystems
Boston, MA
- $40 to $55 USD / hour
…to troubleshoot M365 at the Server level (Microsofts cloud infrastructure) vs the client level (user's computer or mobile device) The Service desk troubleshoots these apps on the client…
Added 35 mins ago
CIAM Full Stack Engineer
Manulife
Boston, MA
Familiarity with containers, infrastructure as code, or cloud-native application design.
Added 35 mins ago
EG
Databricks Data Engineer
Eliassen Group
Boston, MA
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 35 mins ago
EG
Cloud Engineer
Eliassen Group
Boston, MA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 51 mins ago
EG
Cloud Engineer
Eliassen Group
Columbia, SC
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 51 mins ago
EG
Databricks Data Engineer
Eliassen Group
Columbia, SC
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 52 mins ago
SYSTEMS ENGINEER
City of New York
Brooklyn, NY
We are seeking two Systems Engineers to design, build, and maintain enterprise systems across our multi-cloud infrastructure, supporting 100+ applications and products. To meet our…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Boise, ID
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Boise, ID
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Montgomery, AL
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Montgomery, AL
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 1 hour ago
Sr. Systems Engineer - AI Gateway Platform(Remote)
CrowdStrike
Jefferson City, MO
CrowdStrike is seeking an experienced Systems Engineer to own, scale, and secure our enterprise Kong AI Gateway platform as a core technical pillar of the AI Platform Enablement team. This…
Added 1 hour ago
Network Engineer, Foundation & Support
Meta
Jefferson City, MO
Meta's Edge & Network Services (ENS) team is actively looking for a Network Engineer to help us tackle the unique set of challenges and opportunities we face, while contributing to our…
Added 1 hour ago
Director - Customer Response Engineering
Trellix
Jefferson City, MO
+ Partner with Technical Support, Customer Success, Product Management, and Engineering so issues reach the right engineer fast and customer feedback reaches the roadmap.
Added 1 hour ago
AI Engineer
Ford Motor Company
Dearborn, MI
We're looking for an AI Engineer to own this system end to end: design, develop, test, and deploy the graph layer to Production on a Google Cloud Platform–native stack , and build the…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Lansing, MI
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Lansing, MI
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 1 hour ago
Network Engineer - Sr. Staff
Lockheed Martin
Colorado Springs, CO
The Network Communications Engineer will design, configure, secure, monitor, and troubleshoot complex, high-performance communication networks supporting mission-critical systems.
Added 1 hour ago
Global Head of Infrastructure & Cloud Operations
Janus Henderson Investors
Denver, CO
You will be responsible for the reliability and performance of the firm's infrastructure, cloud platforms, end-user technology, and operational services.
Added 1 hour ago
Systems Engineer, Mid
BOOZ, ALLEN & HAMILTON, INC.
Colorado Springs, CO
…Administrator, you will help maintain and evolve our Windows-based infrastructure while develop ing hands-on experience with PowerShell automation, system hardening, and security operations…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Denver, CO
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…

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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