Olympia, Washington, 98501

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Onsite
AI Systems Engineer – DevOps& Observability Manager

Job Summary

We are looking for an experienced AI Systems Engineer who will take charge of delivery, modeling, and the management of services that integrate DevOps, MLOps, and FinOps. This role is crucial in driving the efficiency and effectiveness of AI service infrastructure, ensuring it aligns with business goals and provides significant value.

Responsibilities

  • Lead the management and delivery of AI systems, ensuring optimal performance and reliability.
  • Integrate and oversee processes involving DevOps, MLOps, and FinOps.
  • Utilize best practices in operating AI service infrastructures to enhance service quality.
  • Collaborate with cross-functional teams to align AI infrastructure needs with business objectives.

Qualifications

  • Demonstrated experience in managing AI or related service infrastructure.
  • Strong understanding of DevOps principles and practices.
  • Proven ability to deliver results in complex environments.
  • Familiarity with MLOps and FinOps concepts is preferred.

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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supports..pdf, .doc, .docx, or .txt file