AI Engineer will serve as a technical subject-matter expert (SME) responsible for deploying, integrating, and supporting the Selector AI platform within the client's lab and infrastructure environments. This role is hands-on and highly technical, involving configuration, data integration, performance monitoring, documentation, and collaboration with client engineering teams to ensure the platform meets defined use cases and acceptance criteria.
Required Skills & Experience
- Hands-on experience deploying and supporting Selector AI or similar AIOps / observability platforms
- Strong background in Kubernetes (K8s) and containerized infrastructure monitoring
- Experience with data ingestion pipelines, data validation, and system integrations
- Familiarity with performance metrics, KPIs, and observability tooling
- Ability to collaborate closely with client engineering teams in a lab or pre-production environment
- Strong documentation skills with the ability to translate technical processes into clear operational guides