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