Senior AI Platform Engineer: Delivery & Observability

EY; Phoenix (AZ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive compensation and total福利

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’ll shape the runtime surface and CI/CD pipelines to ship AI workloads safely and repeatably.

The role spans governance, cost management, and full observability, requiring strong DevOps, model-serving, and OpenTelemetry expertise. EY offers a hybrid model and extensive benefits.

Qualifications

• 8+ years in DevOps, MLOps, platform, or observability engineering with hands-on production ownership of AI or high-throughput services.
• Strong hands-on DevOps experience incl. CI/CD/CV pipelines and GitOps tooling for automated build, test, release, and rollback.
• Hands-on expertise operating inference/model-serving frameworks (Ray Serve, vLLM, Triton, or NIM) 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 (OpenCost, Kubecost, or equivalent).
• Familiarity with model/artifact registries and supply-chain scanning.
• Proven track record operating AI or service infrastructure under compliance, security, or regulatory constraints.

Responsibilities

• Supports DevOps and delivery for AI workloads: CI/CD/CV pipelines that ship AI services and runtime components.
• Own governance and discovery for AI assets including registries and metadata.
• Own resource and cost management with quotas and rate limits to keep AI execution bounded.
• Own the full observability stack including metrics, logs, traces, dashboards, and debugging tools.
• Own the OpenTelemetry collection layer for multi-tenant telemetry routing.
• Automate GitOps-based delivery and verification with policy gates.
• Drive deployment decisions via telemetry and cost signals for progressive rollout and rollback.
• Ensure identity-stamped cost and telemetry per tenant and workload.

Skills

DevOps

Model serving

Observability

FinOps

Governance

Multi-environment

Communication

Education

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

Tools

Ray Serve

vLLM

Triton

NIM

OpenTelemetry

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’ll shape the runtime surface and CI/CD pipelines to ship AI workloads safely and repeatably.

The role spans governance, cost management, and full observability, requiring strong DevOps, model-serving, and OpenTelemetry expertise. EY offers a hybrid model and extensive benefits.