AI Systems Engineer
Core
Building shared systems, standards, and delivery pathways to move in-house AI capabilities from candidate state into observable, rollback-safe production operation.
Role type
AI Systems Engineer (Platform Engineering)
Builds
Shared systems, interfaces, and standards for the AI Platform division
Domain
AI Platform Engineering / Production ML Systems
Deliverable
production ML models
Required skills
production infrastructure, software engineering fundamentals, debugging, cross-functional collaboration, change management, operability, rollout safety
Preferred skills
cloud infrastructure, containerized environments, managed ML platforms, service orchestration, model serving, deployment systems, experiment tracking, artifact/version management, ML lifecycle tooling, distributed systems, testing, benchmarking, experimentation systems, evaluation frameworks, applied AI, speech, conversational systems
Technologies
(none explicitly listed)
Responsibilities
Design, build, and improve systems connecting AI capability development to production; improve packaging, versioning, promotion, and rollback of model artifacts; build deployment and release pathways; enable shadow-serving and staged rollouts; strengthen runtime observability and debugging; build evaluation systems for release decisions; reduce bespoke coordination for shared rails
Seniority
Mid-level (2-6 years experience)
