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Added 2 mins ago
T
Senior AI/ML Engineer
TEKsystems
New York, NY
- $119,800 to $179,800 USD / year
…We are seeking a highly skilled and motivated Senior AI/ML Engineer with 57 years of experience in data engineering and at least 3 years in AI/ML engineering. The ideal candidate will have…
Added 3 mins ago
Platform Engineer Sr. - AWS / Airflow
Referrals Only
Chicago, IL
As a Senior Platform Engineer, you will design, develop, and optimize the AWS-centric platform infrastructure that enables high-scale software delivery and reliable data workflows.
Added 5 mins ago
Principal Site Reliability Engineer
NVIDIA USA
CA
Deep expertise in distributed systems architecture, networking, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
Added 15 mins ago
Knowledge Engineer / Semantic Expert for AI
Accenture LLP Company
NY
As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.
Added 16 mins ago
AI & HPC Infrastructure Engineer
Accenture
Saint Louis, MO
…using platforms and tools such as Kubernetes, Slurm, Run:ai, AWS, Azure, GCP, VMware, Nutanix, Python, Terraform, and…
Added 18 mins ago
C
Entry-Level Engineer - Python, Data Analytics & Generative AI Life Sciences Commercial
Cognizant
Jefferson City, MO
- $65,000 USD / year
We are seeking a motivated and curious Entry-Level Engineer with a strong foundation in Python, data analytics, modeling, and Generative AI . This role is ideal for recent graduates or…
Added 20 mins ago
UG
Senior Software Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
As a Senior Software Engineer on the OCPN Cloud Platform Team, you will drive the architecture, technical design, development, delivery, and operationalization of cloud-native, resilient,…
Added 26 mins ago
Senior AI Engineer
Suffolk Construction Company, Inc
Boston, MA
Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs.
Added 29 mins ago
Software Engineer II - Lunar Permanence
Blue Origin LLC
Seattle, WA
We are seeking a Level 2 Software Engineer to join the Lunar Apps team in the Lunar Permanence business unit. Our team is responsible for developing innovative products that accelerate…
Added 32 mins ago
Full-stack Engineer 4
Capital One
Plano, TX
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 32 mins ago
AI Engineer 4 (AI Safety and Multimodal)
Capital One
San Jose, CA · McLean, VA · Cambridge, MA · NY
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 32 mins ago
Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 33 mins ago
Staff AI Engineer
Nova Biomedical
Waltham, MA
The Staff AI Engineer will serve as a senior hands-on technical leader within Nova's Data & AI function, designing, building, and operationalizing AI-enabled applications, agents, reusable…
Added 33 mins ago
CC
Staff Site Reliability Engineer
Carrier Corporation
Remote, United States
- $96,000 to $192,000 USD / year
Carrier's Building Automation Systems (BAS) Cloud organization is seeking a highly skilled Senior Site Reliability Engineer (SRE) to help build, scale, and continuously improve our…
Added 33 mins ago
Sr. Software Engineer
The Home Depot
Remote, United States
Cloud computing technologies like Google Cloud platform, AWS;
Added 35 mins ago
Sr Data Engineer
CAI Cox Automotive Corp Svcs., LLC
Atlanta, GA
…from dozens of enterprise sources through a metadata-driven AWS framework, is modeled into conformed and mart layers, and is exposed to BI tools, downstream applications, and AI agents…
Added 38 mins ago
WW
Observability & SRE Engineer
World Wide Technology
Maryland Heights, MO
- $90,000 to $135,000 USD / year
World Wide Technology (WWT) is seeking an Engineer to join the Observability & Site Reliability Engineering (SRE) team. In this role, the Engineer will design, build, and operate the…
Added 40 mins ago
ConvergeHEALTH - Forward Deployed Engineer, Data Studio-Supply Chain - Products & Platforms
Deloitte
Kansas City, MO
+ Strong hands-on engineering skills, including proficiency in Python and SQL and comfort working with APIs, data integration patterns, and cloud-based services (e.g., AWS) to build and…
Added 40 mins ago
ConvergeHEALTH - Forward Deployed Engineer, Data Studio-Supply Chain - Products & Platforms
Deloitte
Saint Louis, MO
+ Strong hands-on engineering skills, including proficiency in Python and SQL and comfort working with APIs, data integration patterns, and cloud-based services (e.g., AWS) to build and…
Added 40 mins ago
ConvergeHEALTH - Forward Deployed Engineer, Data Studio - Products & Platforms
Deloitte
Saint Louis, MO
+ Strong hands-on engineering skills, including proficiency in Python and SQL and comfort working with APIs, data integration patterns, and cloud-based services (e.g., AWS) to build and…
Added 40 mins ago
ConvergeHEALTH - Forward Deployed Engineer, Data Studio - Products & Platforms
Deloitte
Kansas City, MO
+ Strong hands-on engineering skills, including proficiency in Python and SQL and comfort working with APIs, data integration patterns, and cloud-based services (e.g., AWS) to build and…
Added 44 mins ago
IC
Cloud Software Development Engineer
Intel Corporation
OR
- $111,030 to $156,740 USD / year
As a Cloud Software Development Engineer, you will play a pivotal role in designing, developing, and optimizing cutting-edge software solutions tailored for cloud, hybrid-cloud, and…
Added 49 mins ago
Principal Software Development Engineer (AI Innovation)
CVS Health
Richardson, TX
The Principal Software Development Engineer will drive innovative, enterprise-wide solution designs at the business unit level for highly complex, strategic initiatives. In this high-impact…
Added 49 mins ago
Python Engineer with Gen AI
Kelly Services
Irving, TX
Our client, a leading energy company , is hiring a Python Developer in Irving, TX ! This is an onsite 3x a week.
Added 51 mins ago
Sr Technical Security Product Owner (DevSecOps Engineering)
Humana
Austin, TX · Dallas, TX

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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