The Role
The AI Engineer (Expert) is responsible for building and managing AI observability platforms, overseeing cloud infrastructure, and designing scalable data pipelines.
Summary Generated by Built In
The AI Engineer
(Expert) will be responsible for building, operating, and enhancing AI-driven
platforms, with a strong focus on observability, cloud infrastructure, and data
pipelines. This role requires a systems-thinking mindset and the ability to
manage complex, cloud-native environments.
Key
Responsibilities
- Build and operate AI observability
platforms
- Manage and maintain platform
infrastructure
- Control and manage platform access
and governance
- Design and implement scalable data
pipeline solutions
- Oversee daily platform operations and
performance
Requirements
Essential
Skills
- Cloud platforms (Azure and/or AWS)
- Application observability and
telemetry
- DevOps practices
- Agent framework familiarity
- GitOps
Advantageous
Skills
- AI agent development and
configuration
- Infrastructure as Code (Terraform,
Crossplane, ArgoCD)
- Data engineering (Kafka, ETL, Spark)
- Enterprise systems integration
Qualifications
& Experience
- Strong background in platform
engineering or DevOps
- Deep expertise in observability and
monitoring
- Experience with cloud-native,
governed AI platforms
- Proficiency in agent-based systems
- Strong systems-thinking approach
(telemetry, failure modes, reliability)
- Ability to balance engineering
autonomy with governance requirements
Skills Required
- Strong background in platform engineering or DevOps
- Deep expertise in observability and monitoring
- Experience with cloud-native, governed AI platforms
- Proficiency in agent-based systems
- Strong systems-thinking approach
- Ability to balance engineering autonomy with governance requirements
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The Company
What We Do
Sabenza IT is a niche recruitment company specializing in Information Technology, SAP, Finance, and Engineering roles, with over 23 years of experience.







