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Added 3 mins ago
IG
AWS Cloud & Platform Engineer III Job ID 2485
Insight Global
Farmington Hills, MI
- From $74 USD / hour
Experience with Python or shell scripting for infrastructure and deployment automation.
Added 9 mins ago
Senior Contract Manager, Enterprise Accounts - Minneapolis, MN
Medtronic
Lafayette, CO
Added 9 mins ago
Group Product Manager, Data Center Software and Operations
Google
Sunnyvale, CA
…(DC Ops), Google Compute Engine (GCE), and Site Reliability Engineer (SRE) accelerating dock-to-quota capacity, ensuring machine avaialbility with optimized Mean Time To Repair (MTTR) and…
Added 10 mins ago
Enterprise Account Project Coordinator III (Remote, USA)
Medtronic
Boulder, CO
Added 10 mins ago
Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Denver, CO
AmexGBT’s Security GRC team is looking for a talented Senior Security GRC Engineer to design, build, and scale automation and AI-driven solutions that modernize our governance, risk, and…
Added 10 mins ago
Network Operations Engineer
Meta
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Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 10 mins ago
Senior Lead Engineer
PwC
Denver, CO
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Added 10 mins ago
Mechanical Engineer, Data Center Operations Engineering
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Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added 11 mins ago
EG
QA Automation Engineer
Eliassen Group
Denver, CO
- $75 to $82 USD / hour
Experience as an Automation Engineer using tools such as Selenium with Java or similar.
Added 11 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Denver, CO
- $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…
Added 26 mins ago
Senior AI Engineer, Release Engineering
Intercontinental Exchange (ICE)
Omaha, NE
The Senior Engineer is a full-stack engineer with strong AI and large language model (LLM) expertise, embedded within the Release Engineering Development team. This team designs and…
Added 27 mins ago
EG
QA Automation Engineer
Eliassen Group
Lincoln, NE
- $75 to $82 USD / hour
Experience as an Automation Engineer using tools such as Selenium with Java or similar.
Added 27 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Lincoln, NE
- $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…
Added 32 mins ago
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QA Automation Engineer
Eliassen Group
Charleston, WV
- $75 to $82 USD / hour
Experience as an Automation Engineer using tools such as Selenium with Java or similar.
Added 41 mins ago
EG
QA Automation Engineer
Eliassen Group
Indianapolis, IN
- $75 to $82 USD / hour
Experience as an Automation Engineer using tools such as Selenium with Java or similar.
Added 41 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Indianapolis, IN
- $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…
Added 43 mins ago
J
Sr. Systems Engineer – AI Gateway Platform
Jobgether
Remote, United States
- $125,000 to $180,000 USD / year
We are seeking an experienced Systems Engineer to own, scale, and secure an enterprise AI Gateway platform that enables reliable connectivity between AI workloads and critical business…
Added 58 mins ago
EG
QA Automation Engineer
Eliassen Group
Montgomery, AL
- $75 to $82 USD / hour
Experience as an Automation Engineer using tools such as Selenium with Java or similar.
Added 1 hour ago
Civil Engineer - Mid-Level
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Clayton, MO
+ Successful completion of the Fundamentals of Engineering (FE) exam, and designation as an Engineer in Training.
Added 1 hour ago
Senior Civil Engineer -- Energy & Industrial Group
Sargent & Lundy
Clayton, MO
…our clients. Depending on the role, employees may use data, automation, artificial intelligence, and other digital tools to support research, analysis, engineering and design activities,…
Added 1 hour ago
Snr Cybersecurity Consultant Engineer (Architecture, Infrastructure and Remediation)
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United States
…normalization, custom connectors), analytics rules, hunting queries, automation rules and playbooks, workbooks, incident process alignment, and use-case…
Added 1 hour ago
Senior Full Stack Software Engineer – AI/ML
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Dearborn, MI
We are seeking a Senior Full Stack Software Engineer with experience in building, developing, and deploying scalable software applications and AI-powered solutions. The ideal candidate will…
Added 1 hour ago
EG
QA Automation Engineer
Eliassen Group
Lansing, MI
- $75 to $82 USD / hour
Experience as an Automation Engineer using tools such as Selenium with Java or similar.
Added 1 hour ago
J
Senior Software Back End Engineer
Jobgether
Remote, United States
- $122,275 to $165,431 USD / year
…steps. Our partner is looking for a Senior Software Back End Engineer based in the United…
Added 1 hour ago
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Security Engineer, Vulnerability Management
Jobgether
Remote, United States
- $200,000 to $300,000 USD / year
The Security Engineer, Vulnerability Management will build and operate a comprehensive vulnerability management and security operations program for a growing technology platform. In this…

AI Systems Engineer - DevOps& Observability - Senior

Jefferson City, MO, United States

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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 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 advised 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. Works with senior engineers to test and develop capabilities.

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

+ Supports 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

+ 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

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

+ 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 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 - $128,400 to $192,500

+ Bay Area California offices - $133,600 to $200,600

+ All other offices locations in the US, including Sacramento - $106,900 to $176,500

+ Individual salaries within these ranges are de...

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More about this job

Skills

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

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