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Generative Ai Application Operations Engineer

Italy, Milano Employment contract · Job Posted May 05, 2026
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Job Description

The organization is looking for a professional profile specialized in Application Maintenance & Operations for Generative AI–based applications. The candidate will work on complex, mission-critical, highly integrated enterprise solutions, built on Microsoft Azure infrastructure, with extensive use of AI services, microservices architectures, and containerized platforms. The objective of the role is to ensure operational continuity, application stability, security, and controlled evolution of AI solutions in production, supporting run activities such as operations, monitoring, troubleshooting, tuning, and continuous improvement of applications deployed across different environments (e.g., Dev, Test, Prod). The role sits at the intersection of application and infrastructure domains, with a strong focus on observability, integration, data management, correct usage of AI resources, and compliance with security principles and access segregation

Job Responsibility

  • Management of corrective and evolutionary maintenance activities for AI applications in production
  • Analysis and resolution of application incidents and anomalies across front-end, back-end, and service-layer components
  • Support for application release activities and configuration management across different environments (Dev/Test/Prod)
  • Collaboration with development teams to analyze application issues and improve overall software quality
  • Operational ownership of solutions based on Azure Kubernetes Service (AKS), including management of containerized workloads
  • Continuous monitoring of application and infrastructure services using Azure Monitor, Log Analytics, and Application Insights
  • Analysis of application logs, metrics, and alerts to ensure adequate reliability and performance levels
  • Execution of advanced troubleshooting activities on data ingestion pipelines, AI services, search services, and databases
  • Operational support for the use of data persistence services, including Azure SQL DB, Azure Cosmos DB, Azure Storage Account
  • Verification and support of correct content indexing and querying through Azure AI Search
  • Operational oversight of data preprocessing, transformation, and enrichment flows
  • Operational management of application Managed Identities and verification of compliance with the least privilege principle
  • Support for secret and sensitive configuration management via Azure Key Vault
  • Verification of the correct use of AI services (Azure OpenAI, LLMs, embeddings, cognitive services) in accordance with defined architectural policies
  • Collaboration with security teams to ensure compliance with network and security guidelines
  • Contribution to the evolution of AI solutions with a focus on scalability, reliability, and cost optimization
  • Proposal of improvements to logging, monitoring, and application feedback mechanisms
  • Support for the go-live of new Generative AI use cases

Requirements

  • Experience in Application Maintenance and Operations on enterprise applications
  • Good knowledge of Python in an application context focused on AI functionalities
  • Operational knowledge of Microsoft Azure and its main PaaS services
  • Experience with Azure Kubernetes Service (AKS) and containerized workloads
  • Strong analysis and troubleshooting skills based on logs, metrics, and alerts
  • Knowledge of monitoring, logging, and observability principles
  • Familiarity with microservices architectures and multi-layer environments
  • Knowledge of IAM concepts, Managed Identity, and secrets management

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