Senior AI Systems Engineer: DevOps & Observability (Remote)

Ernst & Young Oman; Indianapolis (IN); Hybrid; USD 107,000 - 177,000; Full time

Job summary

EY is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability across cloud, on-prem, edge, and air-gapped environments. You will craft CI/CD/CV pipelines, govern AI assets, and ensure telemetry and cost visibility for repeatable, compliant AI workloads.

The role sits at the intersection of DevOps, MLOps, FinOps, and observability, driving secure model execution and governance with a focus on scalable, observable AI delivery.

Qualifications

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

Responsibilities

• Build and operate the CI/CD/CV pipelines that ship AI services and runtime components.

Skills

CI/CD GitOps

Observability

FinOps cost

Model registries

OpenTelemetry

GPU inference

Cross-cloud

Communication

Education

Bachelor's or Master's in CS or related

Tools

Artifactory/Nexus

Harbor

MLflow

HuggingFace

NGC

Trivy

OpenLineage

Envoy

ArgoCD

Helm

GitHub Actions

GitLab CI

LangSmith

Langfuse

Prometheus

Grafana

Loki

Tempo

Jaeger

DCGM

Job description

EY is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability across cloud, on-prem, edge, and air-gapped environments. You will craft CI/CD/CV pipelines, govern AI assets, and ensure telemetry and cost visibility for repeatable, compliant AI workloads.

The role sits at the intersection of DevOps, MLOps, FinOps, and observability, driving secure model execution and governance with a focus on scalable, observable AI delivery.