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Added 12 mins ago
Senior AI/ML Engineer - LLM & Agent Stack (Customer Facing)
TrueFoundry
NY · San Mateo, CA
We are looking for a Senior AI/ML Engineer - LLM & Agent Stack (Customer-Facing) to join the team.
Added 20 mins ago
Senior Software Engineer
Docusign
San Francisco, CA · Seattle, WA
As a Senior Software Engineer on the CLM - IAM Integrations team, you are responsible for building and maintaining key features that are integral to our customers and business. You are a…
Added 20 mins ago
Technical Systems Engineer (Hybrid)
Cisco
San Jose, CA
As a Technical Systems Engineer with Commerce Product Management & Engineering (part of Cisco IT), You will be at the forefront of sustaining, monitoring, and troubleshooting critical…
Added 32 mins ago
O
Pursuit Manager - Federal
Oracle
Jefferson City, MO
- $21.3 to $33.22 USD / hour
+ Identify and surface candidates for AI-enabled automation as the Applied AI capability comes online; partner with the AI Integration Engineer on pilot workflows.
Added 34 mins ago
Founder, AI Insurance
Forum Ventures
Remote, United States
- Proof of review for professionals: per-matter records proving a licensed lawyer, accountant, engineer, or architect reviewed the AI's work, packaged so coverage holds at renewal
Added 35 mins ago
O
Principal Application Software Engineer, Java & Cloud
Oracle
Jefferson City, MO
- $99,600 to $209,500 USD / year
Oracle Cloud Infrastructure (OCI) is looking for a Principal Application Software Engineer to help develop and evolve TDMS, a mission-critical software suite supporting manufacturing…
Added 36 mins ago
TT
Lead Product Engineer
True Talent Solutions Partners
New York, NY
- $225,000 to $275,000 USD / year
Added 37 mins ago
Cloud Solution Engineer (Genomics & AI)
Oracle
Jefferson City, MO
The opportunity Oracle is seeking a senior pre-sales engineer with expertise in genomics, software engineering, and applied AI/ML. You will help molecular diagnostics companies, genomics…
Added 39 mins ago
Senior Software Engineer
Workato
San Francisco, CA
We're looking for an exceptional Senior Software Engineer to help build the distributed backend that powers our AI agent platform and the developer-facing products around it - the…
Added 48 mins ago
Software Developer – Entry Level (Top Secret Clearance Required)
CGI
Fairfax, VA
Bachelor’s degree in Computer Science, Software Engineer or related field
Added 1 hour ago
SC
Principal Consultant
Softchoice Corporati
Denver, CO
- $158,720 to $198,400 USD / year
Added 1 hour ago
SC
Principal Consultant
Softchoice Corporati
Denver, CO
- $158,720 to $198,400 USD / year
Added 1 hour ago
SL
: Slalom Flex (Project Based) - Product Intelligence Lead
Slalom, LLC
Denver, CO
- $90 to $95 USD / hour
Bring enough AI fluency to engage credibly with both business and technology stakeholders without needing to be a hands-on AI engineer.
Added 1 hour ago
Senior Software Engineer, Discover Feed Recommendations
Google
Mountain View, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 hour ago
Staff Engineer, YouTube Shorts Creation Editor, Android
YouTube
San Bruno, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 hour ago
O
Advanced Services Engineer- Must Have Oracle Health Patient Accounting-Local to Cleveland, OH
Oracle
Cleveland, OH
- $25.87 to $63.65 USD / hour
Added 1 hour ago
AT
Network Infrastructure Engineer II
Akamai Technologies, Inc.
Jefferson City, MO
- $83,200 to $149,800 USD / year
As a Network Infrastructure Engineer II, you will oversee operations in our global data centers. You will monitor and maintain our data centers, networks, and servers worldwide. You will…
Added 1 hour ago
Information Assurance Security Engineer - Top Secret
General Dynamics Information Technology
Arnold, MO
At GDIT, people are our differentiator. As an Information Assurance Security Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a TS/SCI cleared…
Added 1 hour ago
CC
Senior Applications Security Engineer, AI & Automation Development
Centene Corporation
Jefferson City, MO
- $87,000 to $161,300 USD / year
…capabilities used across Security Defense Technologies (SDT). This engineer will join the Defense Automation & Transformation team to expand our development and automation capacity, help…
Added 1 hour ago
Research Engineer, Cybersecurity RL (Reinforcement Learning)
Anthropic
San Francisco, CA · New York City, NY
…comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability…
Added 1 hour ago
TT
Senior Full Stack Engineer
True Talent Solutions Partners
Boston, MA
- $185,000 to $210,000 USD / year
- Experience as a founding engineer, technical lead, staff engineer, or mentor to other engineers.
Added 1 hour ago
TT
Product Engineer
True Talent Solutions Partners
Palo Alto, CA
- $185,000 to $205,000 USD / year
- Two to four years of experience as a product, frontend, or full-stack software engineer, building consumer-facing products.
Added 1 hour ago
Staff Customer Engineer, Platform and Devices Enterprise Solutions
Google
San Jose, CA · Mountain View, CA · San Francisco, CA
As the Customer Engineer for Americas-West, you will support enterprise pre-sales opportunities and fuel business growth for Platform and Devices Enterprise Solutions. Your technical role…
Added 1 hour ago
A
Senior Cloud & Application Security Engineer
AXON-Networks
Irvine, CA
- $150,000 to $220,000 USD / year
The Senior Cloud & Application Security Engineer is the primary hands-on technical security engineer within AXON's Information Security organization.
Added 1 hour ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Cheyenne, WY
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…

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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