AI Systems Engineer: DevOps, Observability & AI Governance

EY; Irvine (CA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY seeks an AI Systems Engineer to own the delivery, model-serving, routing, and observability layer of EY’s AI-native platform. You will work across cloud, on-prem, edge, and air-gapped environments, ensuring secure model execution and cost visibility.

You’ll be responsible for CI/CD pipelines, governance of AI assets, and end-to-end observability, including metrics, logs, traces, and telemetry signals, while collaborating with platform, trust, and data teams to drive repeatable, compliant AI

Qualifications

• 8+ years in DevOps, MLOps, platform, or observability engineering with hands-on 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 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 and quota/rate-limit enforcement.
• Familiarity with model/artifact registries and supply-chain scanning.

Responsibilities

• Own the delivery, CI/CD/CV pipelines, and governance for AI workloads across environments.
• Own governance and discovery for AI assets and model metadata.
• Manage resource and cost attribution to keep AI execution economically bounded.
• Own the full observability stack and related tooling.
• Own the OpenTelemetry collection layer and data routing pipelines.
• Automate GitOps-based delivery and enforce policy gates in pipelines.
• Link delivery and observability to drive deployment decisions and automated rollbacks.
• Ensure per-tenant telemetry and consumption contracts across platform teams.

Skills

CI/CD pipelines

GitOps tooling

Model-serving expertise

Observability

OpenTelemetry

FinOps

Multi-tenant cost attribution

Education

Bachelor’s or Master’s in CS or related field

Tools

Ray Serve

vLLM

Triton

NIM

Prometheus

Grafana

Loki

Tempo/Jaeger

Envoy

Job description

EY seeks an AI Systems Engineer to own the delivery, model-serving, routing, and observability layer of EY’s AI-native platform. You will work across cloud, on-prem, edge, and air-gapped environments, ensuring secure model execution and cost visibility.

You’ll be responsible for CI/CD pipelines, governance of AI assets, and end-to-end observability, including metrics, logs, traces, and telemetry signals, while collaborating with platform, trust, and data teams to drive repeatable, compliant AI