Southfield, Michigan, 48075
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Onsite
Job description
Job Summary
The position of AI Systems Engineer – DevOps & Observability Manager focuses on leading the delivery and implementation of AI systems. This role involves a convergence of various disciplines including DevOps, MLOps, and FinOps, ensuring robust infrastructure is in place to support AI initiatives.
Responsibilities
- Oversee the deployment and management of AI models and systems.
- Collaborate across teams to integrate DevOps practices with AI operational needs.
- Ensure the observability of AI systems, enhancing performance monitoring and troubleshooting.
- Maintain and optimize service infrastructure, ensuring high availability and reliability.
- Work closely with stakeholders to demonstrate the value and contributions of AI technologies to business objectives.
Qualifications
- Demonstrated experience in managing AI or service infrastructure.
- Strong ability to blend technical expertise in DevOps with AI system requirements.
- Proven skills in fostering collaborative environments across various operational functions.
- Capability to effectively communicate technical concepts to diverse audiences.
- Educational background or certification relevant to AI, DevOps, or related fields 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.
