Seattle, Washington, 98164

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Onsite
AI Systems Engineer – DevOps& Observability Manager

Job Summary

We are looking for an AI Systems Engineer to take charge of the implementation, model management, and operational oversight of our AI systems. This role will primarily focus on the integration and synergy of DevOps, MLOps, and FinOps principles, ensuring that our AI initiatives are effectively aligned with business goals.

Responsibilities

  • Lead the deployment and operationalization of AI models and services.
  • Collaborate with cross-functional teams to enhance observability and reliability of AI systems.
  • Oversee the integration of advanced monitoring and alerting systems to ensure optimal performance.
  • Drive strategic initiatives within the AI infrastructure to maximize efficiency and value for the organization.

Qualifications

  • Demonstrated experience in managing AI or service infrastructure.
  • Strong understanding of DevOps, MLOps, and FinOps methodologies.
  • Proven ability to contribute meaningfully to business objectives.
  • Excellent problem-solving skills and ability to work under pressure.

EY provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
To apply for this job, please upload your resume.
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AI Systems Engineer – DevOps& Observability Manager
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supports..pdf, .doc, .docx, or .txt file