Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added just now
CC
Sr Quality Engineer
Carrier Corporation
Collierville, TN
- $79,000 to $158,000 USD / year
…operations standards as our Collierville facility’s senior quality engineer. This position offers high visibility and an excellent pathway to future…
Added just now
CS
Customer Success Program Manager - Food
CRT Sensitech
Beverly, MA
- $79,000 to $158,000 USD / year
…streaming data, machine learning, and predictive analytics to engineer process efficiencies, maximize customer retention, and build sustainable supply…
Added just now
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 just now
Sr. Software Engineer
The Home Depot
Remote, United States
Added just now
STAFF SOFTWARE ENGINEER
The Home Depot
Remote, United States
Added just now
Sr. Software Engineer
The Home Depot
Remote, United States
Added just now
Staff Software Engineer (Platform - Access & Authorization)
Coinbase
Jefferson City, MO
Staff Software Engineer, Access & Authorization
Added just now
AT
Partner Solutions Engineer II (Atlanta - Remote)
Akamai Technologies, Inc.
Jefferson City, MO
- $100,700 to $181,300 USD / year
As a Partner Solutions Engineer II, you will be responsible for:
Added 1 min ago
Mechanical engineer
ACS Acquisitions, Inc
CA
To support our extraordinary teams who build great products and contribute to our growth, we're looking to add a Mechanical Engineer located in Milpitas, California.
Added 1 min ago
Sr Principal Software Engineer
Palo Alto Networks, Inc.
CA
As a senior principal level Device Security Engineer, you will:
Added 1 min ago
AT
Senior Network Engineer
Akamai Technologies, Inc.
Jefferson City, MO
- $112,500 to $202,500 USD / year
As a Senior Network Engineer you will lead efforts in designing, implementing, and automating our global network infrastructure. You will address complex issues in routing, data center…
Added 1 min ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Saint Louis, MO
Added 1 min ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Kansas City, MO
Added 1 min ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Jefferson City, MO
Added 2 mins ago
MS
Lead Mainframe Hardware Engineer
MS Services Group, Inc.
Remote, United States
- $110,000 to $215,000 USD / year
Added 2 mins ago
Sr Data Engineer
CAI Cox Automotive Corp Svcs., LLC
Atlanta, GA
This engineer is a hands-on technical leader on one of the Data & Analytics delivery pods. You will build and ship production pipelines and governed views, raise the quality bar through…
Added 3 mins ago
A
Geotechnical Engineer
Actalent
Kirkland, WA
- $35 to $45.6 USD / hour
[Job Description]An Engineering company located in Kirkland, WA is currently hiring for a Geotechnical Engineer to support and, depending on experience, manage geotechnical projects from…
Added 4 mins ago
Systems Engineer - Patch Management (Linux/Windows)
World Wide Technology
Maryland Heights, MO
…system platforms. The Infrastructure Patch & Vulnerability Engineer is a mid-level technical role focused on strengthening infrastructure security posture through disciplined patching,…
Added 4 mins ago
Principal Supply Chain Data Engineer & Analytics Lead
Bausch + Lomb
Jefferson City, MO
The Principal Supply Chain Data Engineer and Analytics Lead is a critical role responsible for building the data foundation, analytics capabilities, and insight-generation engine required…
Added 4 mins ago
Senior Product Manager
Kernel
San Francisco, CA
- Our customers are developers, so strong PM candidates are technical and may even have started their career as a software engineer.
Added 4 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 4 mins ago
O
Principal Engineer- Grid Modeling and Compliance
Oracle
Jefferson City, MO
- $114,600 to $234,600 USD / year
Added 4 mins ago
Senior AI Engineer, Big Data & AI Solutions
Mastercard
O'Fallon, MO
As a Senior AI Engineer, you will work at the intersection of big data engineering and AI/ML, helping build and support the data, features, models, and production processes behind fraud…
Added 5 mins ago
Software Test and Automation Engineer
Edwards Lifesciences LLC
CA
Added 5 mins ago
Senior Engineer - Global Rates eTrading Tech
Bank of America, National Association
United States
Experience as a lead software engineer building electronic trading solutions

AI Systems Engineer - DevOps& Observability Manager

Saint Louis, MO, United States

Apply About employer

Applications open in a new tab.

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 an AI Systems Engineer to own the delivery, model-serving, routing, and observability layer of EY's AI-native platform. These are the systems that ship, run, and make fully visible every AI workload. Within the Hybrid AI Multi-Environment Runtime (HAI), this role owns how AI services and agents are built and deployed, how models execute, how requests are routed to them, how AI assets are catalogued and governed, how consumption is measured and bounded, and how the entire platform is observed across cloud, on-prem, edge, and air-gapped environments.

This is a distinct discipline from platform, data, and trust engineering. Where Platform Engineering owns the cluster substrate and its infrastructure automation, this role owns the delivery and runtime surface, including the CI/CD/CV pipelines that ship AI workloads, secure model execution, semantic routing, and model/prompt selection, together with the governance, discovery, cost, and telemetry systems that keep AI workloads shippable, economical, discoverable, and transparent. It sits at the intersection of DevOps, MLOps, FinOps, and observability.

This role is ideal for an engineer who is equally comfortable building automated delivery pipelines, operating high-performance inference (GPUs, model servers, sandboxed execution), and building deep observability and cost visibility; who understands that in regulated contexts every AI workload must be delivered repeatably and every AI request must be economically bounded, attributable, and traceable end-to-end.

Your key responsibilities

+ Own DevOps and delivery for AI workloads: build and operate the CI/CD/CV pipelines that ship AI services, agents, and runtime components, including automated build, test, continuous verification, release, and rollback, so AI workloads are delivered repeatably and safely into every environment.

+ Own governance and discovery for AI assets, including service catalog/registry (Artifactory/Nexus, Harbor), experiment tracking and model metadata (MLflow), upstream registries/mirrors (HuggingFace/NGC), CVE/SBOM scanning (Trivy), lineage contracts (OpenLineage), and license management.

+ Own resource and cost management, including quotas and rate limits, cost attribution and utilization (Apptio/OpenCost/Kubecost), so AI execution stays economically bounded and controllable per tenant and engagement.

+ Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and SLA/alert notifications.

+ Own the OpenTelemetry collection layer, including multi-tenant receiver, exporters and queues (Kafka sink), DCGM exporter for GPU telemetry, processor batching, and dynamic filtering, so every signal is captured and routed reliably.

+ Automate GitOps-based delivery and continuous verification; embedding quality, integrity, and cost gates into pipelines so releases are policy-compliant by default rather than by manual review.

+ Close the loop between delivery and observability by using telemetry, evaluation, and cost signals to drive deployment decisions, progressive rollout, and automated rollback of AI workloads.

+ Ensure cost and telemetry are identity-stamped and per-tenant, so consumption and behavior are attributable end-to-end, keeping FinOps and observability tied to the workloads that generate the load.

Skills and attributes for success

+ Strong DevOps expertise: CI/CD/CV pipeline design, GitOps, continuous verification, and progressive/automated release and rollback for production workloads.

+ Deep expertise operating model-serving and inference systems (Ray, vLLM/Triton/NIM) on GPUs at production scale.

+ Deep observability skills: metrics, logs, traces, and OpenTelemetry.

+ FinOps mindset: able to attribute, bound, and optimize AI consumption cost per tenant and workload.

+ Familiarity with model/artifact governance, registries, CVE scanning, and license/lineage tracking.

+ Comfortable operating across cloud, on-prem, edge, and air-gapped environments with consistent runtime and telemetry semantics.

+ Strong communicator able to explain runtime, cost, and observability tradeoffs to engineers, architects, and leadership.

To qualify you must have

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

+ 8+ years in DevOps, MLOps, platform, or observability engineering, with hands-on production ownership of AI or high-throughput services.

+ Strong hands-on DevOps experience, including CI/CD/CV pipelines and GitOps tooling (ArgoCD, Helm, GitHub Actions/GitLab CI, or equivalents) for automated build, test, release, and rollback.

+ Hands-on expertise operating inference/model-serving frameworks (Ray Serve, vLLM, Triton, or NIM) on GPU infrastructure.

+ Strong experience with observability stacks (Prometheus, Grafana, Loki, Tempo/Jaeger) and OpenTelemetry.

+ Experience with API gateways and request routing (Envoy or equivalent), including streaming responses.

+ Experience with cost management / FinOps tooling (OpenCost, Kubecost, or equivalent) and quota/rate-limit enforcement.

+ Familiarity with model/artifact registries and supply-chain scanning (Harbor, MLflow, Trivy/SBOM).

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

+ Ability to define clean ownership boundaries and consumption contracts with platform, trust, and data teams.

Ideally, you'll also have

+ Experience with LLM evaluation and debugging tooling (LangSmith, Langfuse) and prompt/response quality measurement.

+ Experience with sandboxed/secure execution (gVisor, Firecracker, or microVM isolation) for untrusted or multi-tenant workloads.

+ Familiarity with GPU telemetry (DCGM) and GPU utilization optimization.

+ Experience with lineage and governance contracts (OpenLineage) and AI license management.

+ Exposure to multi-tenant cost attribution and per-tenant SLA/alerting.

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

What we offer you

At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. ...

Apply About employer

More about this job

Skills

CI/CD
Mlflow
Hugging Face
Cost management
Prometheus
Grafana
Debugging
Apache Kafka
Leadership
Computer science
DevOps
GitHub
GitLab
Supply chain management
Regulatory compliance

Report this job