Lead AI Delivery & Observability Engineer

EY

Birmingham (AL)

Hybrid

USD 126,000 - 230,000

Full time

10 days ago
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Pension and 401(k)

Job summary

EY is seeking an AI Systems Engineer to own delivery, model serving, routing and observability for EY’s AI-native platform. You will manage CI/CD/CV pipelines, secure model execution, governance of assets, and multi-environment telemetry across cloud, on‑prem, edge and air‑gapped environments.

The ideal candidate has 8+ years in DevOps/MLOps with production ownership of AI or high-throughput services, strong OpenTelemetry and observability experience, and a proven track record in compliant,

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related technical field.
  • 8+ years in DevOps, MLOps, platform, or observability engineering with hands-on AI or high-throughput workloads.
  • Hands-on DevOps including CI/CD/CV pipelines and GitOps tools for automated release and rollback.
  • Hands-on inference/model-serving frameworks on GPU infrastructure.
  • Strong experience with Prometheus, Grafana, Loki, Tempo/Jaeger and OpenTelemetry.
  • Experience with API gateways and streaming request routing.
  • Experience with FinOps tooling and quota/rate-limit enforcement.
  • Familiarity with model registries and supply-chain scanning tools.
  • Proven track record in compliant, secure AI/service infrastructure.
  • Ability to define ownership boundaries and consumption contracts.

Responsibilities

  • Own DevOps and delivery for AI workloads: CI/CD/CV pipelines and automated release into environments.
  • Own governance and discovery for AI assets and model metadata.
  • Own resource and cost management with tenancy and attribution.
  • Own full observability stack: metrics, logs, traces, dashboards, and evaluation tooling.
  • Own OpenTelemetry collection and multi-tenant signal routing.
  • Automate GitOps-based delivery with policy gates in pipelines.
  • Link delivery and observability to drive deployment decisions and automated rollback.
  • Ensure cost and telemetry are per-tenant and attributable.

Skills

DevOps
MLOps
Observability
FinOps
Hybrid cloud

Education

Bachelor’s/Master’s in CS

Tools

ArgoCD
Helm
GitHub Actions
GitLab CI

Job description

EY is seeking an AI Systems Engineer to own delivery, model serving, routing and observability for EY’s AI-native platform. You will manage CI/CD/CV pipelines, secure model execution, governance of assets, and multi-environment telemetry across cloud, on‑prem, edge and air‑gapped environments.

The ideal candidate has 8+ years in DevOps/MLOps with production ownership of AI or high-throughput services, strong OpenTelemetry and observability experience, and a proven track record in compliant,

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