Senior AI DevOps & Observability Engineer

Ernst & Young Oman; San Francisco (CA); On-site; USD 128,000 - 201,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability for EY's AI-native platform across cloud, on-prem, edge, and air-gapped environments. You will work with high-performance GPUs, implement automated CI/CD/CV pipelines, and ensure cost-aware, observable AI workloads.

The role sits at the intersection of DevOps, MLOps, FinOps, and observability, collaborating with senior engineers to test and develop capabilities while ensuring governance and

Qualifications

• 8+ years in DevOps, MLOps, platform, or observability engineering.
• 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 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) 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.

Responsibilities

• Build and operate CI/CD/CV pipelines for AI services, agents, and runtime components.
• Own governance and discovery for AI assets and model metadata.
• Own resource and cost management to keep AI execution economical.
• Own the full observability stack including metrics, logs, traces, and dashboards.
• Own the OpenTelemetry collection layer for multi-tenant environments.
• Automate GitOps-based delivery with policy-driven gates.
• Close the loop between delivery and observability for deployment decisions and automated rollbacks.
• Ensure cost and telemetry are per-tenant and attributable.

Skills

CI/CD pipelines

GitOps

Observability

Cost optimization

AI workloads delivery

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

ArgoCD

Helm

GitHub Actions

GitLab CI

Prometheus

Grafana

Loki

Tempo/Jaeger

Job description

EY is seeking an AI Systems Engineer to own delivery, model-serving, routing, and observability for EY's AI-native platform across cloud, on-prem, edge, and air-gapped environments. You will work with high-performance GPUs, implement automated CI/CD/CV pipelines, and ensure cost-aware, observable AI workloads.

The role sits at the intersection of DevOps, MLOps, FinOps, and observability, collaborating with senior engineers to test and develop capabilities while ensuring governance and