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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