Remote AI Systems Engineer & DevOps Observability Lead

EY; Secaucus (NJ); Híbrido; USD 126.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Medical and dental coverage

401(k) plan

Descripción de la vacante

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

The role requires building automated delivery pipelines, operating high-performance inference, and delivering cost-aware, auditable, end-to-end AI workloads with strong OpenTelemetry and observability skills.

Formación

• 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 ownership of AI or high-throughput services.
• Hands-on DevOps experience with CI/CD/CV pipelines and GitOps tooling (ArgoCD, Helm, GitHub Actions/GitLab CI) 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) and quota/rate-limit enforcement.
• Familiarity with model/artifact registries and supply-chain scanning (Harbor, MLflow, Trivy/SBOM).
• Proven track record operating AI or service infrastructure under compliance, security, or regulatory constraints.
• Ability to define clean ownership boundaries and consumption contracts with platform, trust, and data teams.

Responsabilidades

• Own DevOps and delivery for AI workloads: CI/CD/CV pipelines that ship AI services and runtime components.
• Own governance and discovery for AI assets and model metadata.
• Own resource and cost management, including quotas and cost attribution.
• Own the full observability stack: metrics, logs, traces, dashboards, and evaluation tools.
• Own the OpenTelemetry collection layer for multi-tenant telemetry.
• Automate GitOps-based delivery and continuous verification with policy gates.
• Close the loop between delivery and observability using telemetry and cost signals to guide deployment decisions.
• Ensure per-tenant identity stamping for consumption and telemetry.

Conocimientos

DevOps

MLOps

Observability

OpenTelemetry

GPU inference

GitOps

CI/CD

Cost management

AI infrastructure

Regulatory compliance

Educación

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

Herramientas

Ray Serve

vLLM

Triton

NIM

Prometheus

Grafana

Loki

Tempo/Jaeger

Harbor

MLflow

Trivy

OpenLineage

Descripción del empleo

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

The role requires building automated delivery pipelines, operating high-performance inference, and delivering cost-aware, auditable, end-to-end AI workloads with strong OpenTelemetry and observability skills.