Hybrid AI Systems Engineer: DevOps & Observability

EY

Baltimore (MD)

On-site

USD 107,000 - 177,000

Full time

14 days+
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Job summary

EY is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability for EY’s AI-native platform. You’ll shape runtime surfaces across cloud, on‑prem, edge, and air‑gapped environments while advising on governance, cost visibility, and telemetry.

This hybrid, remote-friendly role emphasizes building automated delivery pipelines, operating high‑performance inference, and delivering end-to-end observability with strong FinOps discipline.

Qualifications

  • 8+ years in DevOps, MLOps, platform, or observability engineering with hands-on production ownership of AI or high-throughput services.
  • Hands-on DevOps experience, including CI/CD/CV pipelines and GitOps tooling for automated build, test, release, and rollback.
  • Hands-on expertise operating inference/model-serving frameworks on GPU infrastructure.
  • Strong observability experience with metrics, logs, traces and OpenTelemetry.
  • Experience with API gateways and request routing (Envoy or equivalent).
  • Familiarity with model/artifact registries and supply-chain scanning.

Responsibilities

  • Supports DevOps and delivery for AI workloads: build and operate CI/CD/CV pipelines that ship AI services, agents, and runtime components.
  • Own governance and discovery for AI assets, including registries and artifact tracking.
  • Own cost attribution and utilization to keep AI execution economically bounded per tenant.
  • Own the full observability stack: metrics, logs, traces, dashboards, and debugging tools.
  • Manage OpenTelemetry collection and multi-tenant telemetry routing.
  • Automate GitOps-based delivery with quality and cost gates.
  • Close the loop between delivery and observability to drive deployments and rollbacks.
  • Ensure identity stamping of cost and telemetry per tenant.

Skills

DevOps pipelines
Model-serving systems
Observability
FinOps cost visibility
Governance & registries
Multi-environment runtime
Communication skills

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Envoy
OpenTelemetry
Prometheus
Grafana
Loki
LangSmith
Langfuse
Harbor/MLflow/Trivy
Kubecost/OpenCost
OpenLineage

Job description

EY is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability for EY’s AI-native platform. You’ll shape runtime surfaces across cloud, on‑prem, edge, and air‑gapped environments while advising on governance, cost visibility, and telemetry.

This hybrid, remote-friendly role emphasizes building automated delivery pipelines, operating high‑performance inference, and delivering end-to-end observability with strong FinOps discipline.

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