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AI Systems Engineer - DevOps & Observability - Senior
EEY
Summary by AIEngineer.careers
AI Systems Engineer - DevOps & Observability - Senior is a MLOps Engineer role (full-time). with EY. in SEATTLE, US. Compensation shown: $128K–$201K. Imported listing (source: localjobs.com). Apply on the employer's site (localjobs.com).
Imported listing (source: localjobs.com) · Apply on localjobs.com
SEATTLE · US
$128K–$201K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from localjobs.com
This senior-level role focuses on owning the delivery, model-serving, routing, and observability layers of an AI-native platform. The engineer will build, deploy, and maintain scalable AI services and agents while ensuring robust system monitoring and reliability. Responsibilities include designing infrastructure that supports continuous integration and deployment for machine learning workloads.
Responsibilities
- Own the delivery and observability layer of the AI-native platform
- Build and deploy AI services and agents
- Implement model-serving and routing infrastructure
- Monitor system performance and optimize for scalability
Requirements
- Strong background in DevOps and platform engineering
- Experience with AI/ML model deployment and serving
- Proficiency in observability tools and monitoring practices
- Ability to design and maintain scalable AI infrastructure
Nice to Have
- Experience with cloud AI platforms and containerization
- Familiarity with LLM evaluation and monitoring frameworks
- Background in distributed systems and microservices
E
EY
Greater London · GB · 393025+ employees
EY is a global professional services network that helps clients capitalize on opportunities and manage risk to deliver responsible growth. It operates through integrated service lines including Assurance, Consulting, Strategy and Transactions, and Tax.
