Senior AI Systems Engineer: DevOps, Observability & FinOps

EY; San Jose (CA); Hybrid; USD 128,000 - 201,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability for EY's AI-native platform across cloud, on-prem, edge, and air-gapped environments.

The role sits at the intersection of DevOps, MLOps, FinOps, and observability, requiring experience with GPU inference, automated pipelines, and cost visibility. EY offers a hybrid model and a comprehensive rewards package.

Qualifications

• 8+ years in DevOps, MLOps, platform, or observability engineering with hands-on ownership of AI or high-throughput services.
• Hands-on DevOps experience with CI/CD/CV pipelines and GitOps tooling (ArgoCD, Helm, GitHub Actions/GitLab CI).
• Hands-on expertise operating inference/model-serving frameworks on GPU infrastructure.
• Strong experience with observability stacks (Prometheus, Grafana, Loki, Tempo/Jaeger) and OpenTelemetry.
• Experience with API gateways and request routing, including streaming responses.
• Experience with cost management / FinOps tooling and quota/rate-limit enforcement.
• Familiarity with model/artifact registries and supply-chain scanning.

Responsibilities

• Supports DevOps and delivery for AI workloads: build and operate pipelines to ship AI services and runtime components.
• Own governance and discovery for AI assets and model metadata.
• Own resource and cost management to keep AI execution economical per tenant.
• Own the full observability stack: metrics, logs, traces, dashboards, and debugging tools.
• Automate GitOps-based delivery and continuous verification with policy gates.

Skills

DevOps

MLOps

Observability

FinOps

OpenTelemetry

GPU inference

Education

Bachelor's or Master's in CS/related

Tools

Ray Serve

vLLM

Triton

NIM

Prometheus

Grafana

Loki

Envoy

OpenCost

Kubecost

Harbor

MLflow

Trivy

Job description

EY is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability for EY's AI-native platform across cloud, on-prem, edge, and air-gapped environments.

The role sits at the intersection of DevOps, MLOps, FinOps, and observability, requiring experience with GPU inference, automated pipelines, and cost visibility. EY offers a hybrid model and a comprehensive rewards package.