AI Platform Engineer: DevOps, Observability & Delivery

Ernst & Young Oman; Grand Rapids (MI); Hybrid; USD 125,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

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. The role spans CI/CD pipelines, governance of AI assets, and cost-aware, observable AI workloads across cloud and on‑prem environments.

The ideal candidate has deep DevOps, MLOps, and observability experience, with hands-on GPU inference and multi-environment delivery. EY offers hybrid work and a broad Total Rewards package.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 8+ years in DevOps, MLOps, platform, or observability engineering with hands-on ownership of AI or high-throughput services.
• Hands-on CI/CD/CV pipelines and GitOps tooling (ArgoCD, Helm, GitHub Actions/GitLab CI, or equivalents).
• Hands-on expertise operating inference/model-serving frameworks (Ray Serve, vLLM, Triton, or NIM) on GPU infrastructure.
• Strong observability experience (Prometheus, Grafana, Loki, Tempo/Jaeger) and OpenTelemetry.
• Experience with API gateways and request routing (Envoy or equivalent).
• Experience with cost management / FinOps tooling (OpenCost, Kubecost).
• Familiarity with model/artifact registries and supply-chain scanning (Harbor, MLflow, Trivy/SBOM).
• Proven track record operating AI or service infrastructure under compliance constraints.
• Ability to define clean ownership boundaries and consumption contracts with platform, trust, and data teams.

Responsibilities

• Own DevOps and delivery for AI workloads: build and operate CI/CD/CV pipelines for AI services and runtime components.
• Own governance and discovery for AI assets (registries, model metadata, lineage, licenses).
• Own resource and cost management with quotas and rate limits to keep AI execution bounded.
• Own the full observability stack: metrics, logs, traces, dashboards, and debugging tools.
• Own OpenTelemetry collection layer and multi-tenant telemetry routing.
• Automate GitOps-based delivery and continuous verification with policy gates.
• Close the loop between delivery and observability using telemetry and cost signals for deployment decisions.
• Ensure per-tenant identity stamping for consumption and telemetry.

Skills

DevOps

CI/CD pipelines

GitOps

Observability

FinOps

Model governance

OpenTelemetry

Multi-environment deployment

GPU inference ops

Education

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

Tools

Ray Serve

vLLM

Triton

NIM

Prometheus

Grafana

Loki

Tempo

Jaeger

Envoy

ArgoCD

Helm

GitHub Actions

GitLab CI

OpenCost

Kubecost

MLflow

Harbor

OpenLineage

Trivy

Job description

EY seeks an AI Systems Engineer to own the delivery, model-serving, routing, and observability layer of EY’s AI-native platform. The role spans CI/CD pipelines, governance of AI assets, and cost-aware, observable AI workloads across cloud and on‑prem environments.

The ideal candidate has deep DevOps, MLOps, and observability experience, with hands-on GPU inference and multi-environment delivery. EY offers hybrid work and a broad Total Rewards package.