Jobs in the United States

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Added just now
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
On-site, five days per week in San Francisco, California.
Added just now
TT
Founding AI Agent Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $150,000 to $220,000 USD / year
…and support participants in clinical trials. As a founding engineer on the agent team, you will own the development of safe, scalable conversational experiences for patients in a regulated…
Added 1 min ago
Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE)
NTT DATA Americas, Inc.
Charlotte
We are currently seeking a Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE) to join our team in Charlotte, North Carolina (US-NC), United States (US).
Added 2 mins ago
Senior Advanced Site Reliability Engineer (SRE)
Honeywell
Atlanta, GA
We are seeking a highly skilled and experienced Senior Advanced Site Reliability Engineer (SRE) to join our team. The ideal candidate will have a strong background in DevOps and SRE…
Added 3 mins ago
ZT
RF Engineer, Senior
Zebra Technologies Corporation
Holtsville, NY
- $96,800 to $145,200 USD / year
The ideal candidate must have deep low-level RF circuit design expertise · Must have Experience with Board level RF circuit design
Added 4 mins ago
Application Network Engineer
World Wide Technology
Maryland Heights, MO
We are seeking a motivated Network Engineer to join the Application Network Services team within WWT's internal IT organization. This team is the engineering owner of the platforms that…
Added 4 mins ago
TE
Staff Electrical Engineer
The Electric Plant
San Francisco, CA
- $225,000 to $245,000 USD / year
We are hiring a Staff Electrical Engineer to own the sensing and signal-acquisition platform at the core of our product. This is a full electronic stack role spanning analog design,…
Added 7 mins ago
Applied AI Health System Engineer [Health Services-Payer] – Senior Manager
PWC US
NY-New York, NY · NC-Raleigh, NC · NC-Charlotte, NC · IL-Chicago, IL · OH-Cincinnati, OH · OH-Cleveland, OH · SC-Columbia, SC · OH-Columbus, OH · TX-Dallas, TX · VA-Richmond, VA · MD-Baltimore, MD · NY-Rochester, NY · IL-Rosemont, IL · MA-Boston, MA · CA-Sacramento, CA · MO-St. Louis, MO · UT-Salt Lake City, UT · TX-San Antonio, TX · CA-San Diego, CA · CA-San Francisco, CA · CA-Silicon Valley, CA · WA-Seattle, WA · SC-Spartanburg, SC · CT-Stamford, CT · FL-Tampa, FL · GA-Atlanta, GA · OH-Toledo, OH · OK-Tulsa, OK · TX-Austin, TX · DC-Washington, DC · CO-Denver, CO · IA-Des Moines, IA · MI-Detroit, MI · NY-Buffalo, NY · NJ-Florham Park, NJ · TX-Fort Worth, TX · NC-Greensboro, NC · CT-Hartford, CT · TX-Houston, TX · IN-Indianapolis, IN · MI-Grand Rapids, MI · CA-Irvine, CA · FL-Jacksonville, FL · MO-Kansas City, MO · NV-Las Vegas, NV · AR-Little Rock, AR · CA-Los Angeles, CA · KY-Louisville, KY · AL-Birmingham, AL · AR-Fayetteville, AR · NY-Melville, NY · FL-Miami, FL · WI-Milwaukee, WI · MN-Minneapolis, MN · TN-Nashville, TN · US-Hybrid · LA-New Orleans, LA · OK-Oklahoma City, OK · PA-Philadelphia, PA · AZ-Phoenix, AZ · PA-Pittsburgh, PA · OR-Portland, OR
What You Must Have
Added 9 mins ago
Senior Software Engineer, Datacenter Automation Platforms
NVIDIA USA
CA
Added 9 mins ago
Senior AI Infrastructure Engineer - DGX Cloud
NVIDIA USA
Remote, United States
NVIDIA is looking for an outstanding, passionate, and dedicated Senior AI Infrastructure Engineer to join our DGX Cloud group. This engineering role will design, build and maintain…
Added 9 mins ago
Senior Software Engineer, Platform Engineering - EDA Infrastructure
NVIDIA USA
Remote, United States
A track record of being the engineer other teams' onboarding or migration efforts route through. You build the paved road other people's migrations travel on.
Added 11 mins ago
AI Systems Engineer - AI Platforms - Manager
EY
Saint Louis, MO
To qualify you must have
Added 11 mins ago
AI Systems Engineer - AI Platforms - Manager
EY
Jefferson City, MO
To qualify you must have
Added 11 mins ago
AI Systems Engineer - AI Platforms - Manager
EY
Kansas City, MO
To qualify you must have
Added 12 mins ago
Account Executive
Dropzone AI
Remote, United States
Dropzone’s mission is to scale cybersecurity beyond human limits, and augment every single human security engineer/analyst with an army of AI security specialists. Humans alone cannot…
Added 12 mins ago
Software Engineering Architect
Cisco
Research Triangle Park, NC
About the Role: Senior DevOps Engineer, Cryptographic Services
Added 12 mins ago
Senior Software Engineer, Metadata Platform
Box
Redwood City, CA
As we embark on the mission to deliver a next-generation Metadata Platform, we're looking for a Senior Engineer to join us and play a pivotal role. You'll have the opportunity to work with…
Added 12 mins ago
Mechanical Reliability Growth Product Validation Engineer
Daimler Truck North America LLC
Portland, OR
Hybrid (4 days per week in-office / 1 day remote)
Added 14 mins ago
AI Software Engineer
Sensible Care
Pasadena, CA
Sensible Care is now hiring an AI Software Engineer to join our AI engineering team. You’ll take on R&D projects to find novel solutions to significant healthcare problems using AI. This is…
Added 14 mins ago
Software QA Engineer
Rhoda AI
Mountain View,, CA
…models, the robot software, and the hardware. As a Software QA Engineer, you decide whether our software is ready to be used by our clients. You will work closely with our programs,…
Added 17 mins ago
SA
Senior Counsel, Product & Privacy
Stability AI
United States
- $200,000 to $270,000 USD / year
A passion for understanding how AI technology works, and the ability to turn an engineer’s technical explanation into concrete legal mitigations and contract provisions.
Added 17 mins ago
Staff Software Engineer, Imitation Learning - Behavior Planning, Embodied AI
General Motors LLC
Remote, United States
…for autonomous driving. In this hands-on Staff Software/ML Engineer role, you will partner with other ML engineers to develop scalable training, evaluation, and deployment solutions for…
Added 17 mins ago
Solutions Engineer
Crogl
Remote, United States
Join Crogl and help redefine how security teams work. As a Solutions Engineer, you'll be a critical part of our go-to-market motion - the technical voice of Crogl in every deal, and the…
Added 20 mins ago
Senior Software Engineer - Full Stack (TS Clearance)
Andesite
WA · McLean, VA
At Andesite, we are building a new product for technical operators in the national security space. As a full stack engineer, you will be responsible for developing our application backend…
Added 20 mins ago
O
Principal Power Systems Engineer
Oracle
Jefferson City, MO
- $114,600 to $234,600 USD / year

AI Systems Engineer - AI Platforms - Manager

Saint Louis, MO, United States

Apply on hiremo.mo.gov About employer

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Job details

Posting language: English

Original job description

Summary

Location: Anywhere in Country

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

We are seeking AI Systems Engineers to build and operate the foundational substrate that powers EY's AI-native platform. This role owns the infrastructure and cloud-native platform layers of the Hybrid AI Multi-Environment Runtime (HAI), from bare-metal and GPU infrastructure through Kubernetes, cluster fabric, and multi-tenant scaling. You will be responsible for building and managing EY Fabric environments across cloud, on-prem, edge, and air-gapped targets.

This is the substrate on which EY Agentic AI capabilities run. This role is ideal for a full-stack infrastructure leader who is equally comfortable with bare-metal and GPU systems and production Kubernetes at scale, who treats reliability and portability as non-negotiable in regulated client contexts, and who understands that the substrate is a product in its own right, measured by the velocity, safety, and portability it unlocks for every team building above it.

Your key responsibilities

+ Own the cluster & cloud-native platform: compute, Kubernetes and scheduling, cluster fabric/networking, multi-tenancy, and distributed compute, as the substrate for Agentic AI workflows and tooling.

+ Own the infrastructure foundation: Ubuntu/OS, BMC/bare-metal, DPU architecture, and NVAIE (GPU/Network/DCGM), ensuring the physical and virtual bedrock is provisioned, patched, and production-ready.

+ Stand up and manage EY Agentic AI environments across cloud (EKS/AKS/GKE), on-prem AI Factory (RKE2/NVAIE), edge (K3s), and air-gapped deployment modes, maintaining one consistent stack contract across all targets.

+ Deliver foundational platform capabilities such as Infrastructure Management, Kubernetes & Scheduling, and Cluster Fabric Management, so downstream runtime, data, and execution services can run safely and consistently.

+ Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and multi-tenancy boundaries (vCluster/Crossplane/Karpenter), providing isolated, elastic capacity per tenant and engagement.

+ Own secure execution and inference: Ray Serve, vLLM/NIM/Triton, and NVIDIA Dynamo, with sandboxed execution (gVisor/Firecracker for hosted, NVIDIA OpenShell/vNode for on-prem) for isolated, safe model execution.

+ Own cognitive and routing: Envoy AI Gateway, semantic routing (vLLM-SR), model/prompt selection, and streaming response handling - directing each request to the right model under the right constraints.

+ Collaborate with DevOps Engineers on deployment and delivery of the platform itself: CI/CD/CV (ArgoCD), infrastructure-as-code / GitOps (Helm/OpenTofu), so environments are reproducible and drift-free.

+ Own backup, disaster recovery, and cross-environment replication for high availability (Velero, CloudNativePG, Cilium ClusterMesh), along with patching and platform supply-chain hygiene.

+ Ensure the substrate is modular and swappable, so components can be replaced without rewriting consumers, minimizing vendor lock-in while preserving the stack contract.

Skills and attributes for success

+ Deep expertise in cloud-native platform engineering (Kubernetes, networking, multi-tenancy at scale) and low-level infrastructure and systems engineering (bare-metal, GPU, DPU).

+ Advanced understanding of how compute, networking, storage, and scheduling interact to form a reliable, portable substrate.

+ Comfortable operating across cloud, on-prem, edge, and air-gapped environments simultaneously, with a portability-first mindset.

+ Strong command of AI gateways, semantic routing, and model/prompt selection under latency and cost constraints.

+ A passion for ensuring reliability, repeatability, and reduction of operational toil through automation and infrastructure-as-code.

+ Ability to define and honor clean ownership boundaries with adjacent trust, data, and runtime teams.

+ Strong communicator able to explain infrastructure tradeoffs to engineers, architects, and leadership.

+ Natural product-ownership orientation toward foundational platforms, measured by the downstream velocity and reliability they enable.

To qualify you must have

+ Bachelor's or Master's degree in Computer Science or related technical field.

+ 8+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments, including hands-on systems depth.

+ Hands-on expertise with Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s) and full cluster lifecycle management.

+ Deep experience with bare-metal, cloud, hybrid, on-prem, and ideally air-gapped deployment models.

+ Strong grounding in cluster networking (Cilium/service mesh/CNI), storage, and multi-tenancy isolation.

+ Experience with GPU infrastructure and scheduling (NVAIE/DCGM, GPU operators, virtualization/MIG).

+ Experience with infrastructure-as-code and GitOps tooling (Terraform/OpenTofu, Helm, ArgoCD, Crossplane).

+ Proven track record operating production infrastructure under compliance, security, or regulatory constraints.

+ Ability to work effectively with security, architecture, product, and delivery teams.

Ideally, you'll also have

+ Experience supporting AI/ML and GPU-intensive workloads (GPU virtualization, MIG, AI workload scheduling).

+ Experience with multi-tenant platforms and tenancy isolation at scale (e.g., vCluster).

+ Experience with disaster recovery, backup, and cross-environment replication tiered by RPO/RTO.

+ Familiarity with distributed compute and batch orchestration (Kueue, Slurm/Slinky, Ray, OpenMPI).

+ Background in platform or SRE roles where success is measured by downstream team velocity, reliability, and portability.

+ Exposure to regulated delivery environments (financial services, tax, healthcare, risk).

What we offer you

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers .

+ The salary range for this job is:

+ New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $150,700 to $251,200

+ Bay Area California offices - $157,100 to $261,600

+ All other offices locations in the US, including Sacramento - $125,500 to $230,200

+ Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Are you ready to shape your future with confidence? Apply today.

+ To make the most of your application experience, p...

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More about this job

Skills

Kubernetes
Team building
Scheduling
Ubuntu
CI/CD
Infrastructure as code
Implement ICT recovery system
Supply chain management
Leadership
Computer science
IBM Terraform
Regulatory compliance
ML

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Jobs in the United States