AI Platform Delivery & Observability Lead

Ernst & Young Oman; Tucson (AZ); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY in the United States is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability across EY’s hybrid AI runtime. You will shape how AI workloads are shipped, how models execute, and how services are observed across cloud, on‑prem, edge, and air‑gapped environments.

This role sits at the intersection of DevOps, MLOps, FinOps, and observability, requiring you to build automated pipelines, govern AI assets, and drive cost visibility with OpenTelemetry, Prometheus,

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related technical field.
• 8+ years in DevOps, MLOps, platform, or observability engineering with production ownership of AI/ high-throughput services.
• Hands-on DevOps with CI/CD tooling for automated build, test, release, and rollback.
• Experience operating AI/model-serving frameworks on GPU infrastructure.

Responsibilities

• Own DevOps and delivery for AI workloads: CI/CD/CV pipelines and rollout/rollback.
• Own governance and discovery for AI assets and registries.
• Own resource and cost management, including quotas and attribution.

Skills

DevOps

CI/CD pipelines

Observability

GPU inference

FinOps

Model governance

OpenTelemetry

API gateways

Education

Bachelor's or Master's in CS

Tools

ArgoCD

Helm

GitHub Actions

GitLab CI

Job description

EY in the United States is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability across EY’s hybrid AI runtime. You will shape how AI workloads are shipped, how models execute, and how services are observed across cloud, on‑prem, edge, and air‑gapped environments.

This role sits at the intersection of DevOps, MLOps, FinOps, and observability, requiring you to build automated pipelines, govern AI assets, and drive cost visibility with OpenTelemetry, Prometheus,