Job Summary
AI Systems Engineer – DevOps& Observability Manager
Location: Atlanta, Georgia, 30312
Work Arrangement: Onsite
Own the delivery and ongoing operation of AI systems, including their models and supporting infrastructure. This role works across DevOps, MLOps, FinOps, and observability, helping ensure AI services are reliable and their business value is clear.
Responsibilities
- Lead delivery and operational management of AI models and the systems that support them.
- Apply DevOps and MLOps practices to maintain and improve AI service infrastructure.
- Establish observability for AI systems and services, supporting visibility into performance and reliability.
- Bring a cost-conscious perspective to infrastructure decisions and connect operational outcomes to business value.
Qualifications
- Demonstrated experience operating AI or service infrastructure in a production environment.
- Experience relevant to DevOps, MLOps, FinOps, and observability.
- Ability to understand infrastructure performance in the context of business outcomes.
Ernst & Young 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.
