AI Application Operations & Maintenance Engineer (Azure)
BIP · Tirana
Enter our world.
Transform with us.
At BIP Consulting, we don’t just adapt to change—we drive it. For over 20 years, we’ve partnered with global businesses to transform challenges into growth opportunities through cutting-edge strategies and advanced technology solutions.
Our growing team of 5,000+ consultants spans 14 countries, fostering a culture of creativity, collaboration, and entrepreneurial spirit. Whether pioneering AI-driven solutions, optimizing data analytics, or shaping the future of tech, we empower professionals to innovate and lead.
Now, we’re excited to explore new horizons in Albania, creating opportunities for talented individuals passionate about shaping the digital landscape.
Joining BIP means being part of a fast-paced, supportive environment where your ideas matter, and your career can soar
Role Context and Objectives
The organization is seeking a professional specialized in Application Maintenance & Operations for Generative AI–based applications.
The candidate will operate 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. This includes supporting runtime operations, monitoring, troubleshooting, tuning, and continuous improvement of distributed applications across multiple environments (e.g., Dev, Test, Prod).
The role sits at the crossroads between the application layer and the infrastructure layer, with a strong focus on observability, system integration, data management, responsible use of AI resources, and strict adherence to security principles and access segregation.
Key Responsibilities
The resource will be responsible for the following activities:
Application Maintenance
- Manage corrective and adaptive maintenance activities for AI applications in production.
- Analyze and resolve application incidents and anomalies across front-end, back-end, and service layers.
- Support application release activities and configuration management across different environments (Dev/Test/Prod).
- Collaborate with development teams to analyze application issues and improve overall software quality.
Operations & Run
- Provide operational support for solutions based on Azure Kubernetes Service (AKS), including management of containerized workloads.
- Continuously monitor application and infrastructure services using Azure Monitor, Log Analytics, and Application Insights.
- Analyze application logs, metrics, and alerts to ensure appropriate levels of reliability and performance.
- Perform advanced troubleshooting on data ingestion pipelines, AI services, search services, and databases.
Data Management & AI Services
- Provide operational support for data persistence services, including:
- Azure SQL Database for structured data;
- Azure Cosmos DB for unstructured data and conversational history;
- Azure Storage Accounts (Blob Storage) for document repositories.
- Verify and support correct content indexing and retrieval through Azure AI Search, including vector search and similarity search.
- Operate and monitor data preprocessing, transformation, and enrichment workflows (Transformation Layer).
Security & Access Management
- Operate and manage application Managed Identities, ensuring adherence to the least privilege principle.
- Support secure handling of secrets and sensitive configurations using Azure Key Vault.
- Verify correct usage of AI services (e.g., Azure OpenAI, LLMs, embeddings, cognitive services) according to architectural governance and policies.
- Collaborate with security teams to ensure compliance with network and security requirements (no public exposure, access via internal network/VPN).
Continuous Improvement & Solution Evolution
- Contribute to the evolution of AI solutions with a focus on scalability, reliability, and cost optimization.
- Propose improvements to logging, monitoring, and application feedback mechanisms.
- Support the go-live and stabilization of new Generative AI use cases, aligned with reference architectures.
Required Technical Skills
- Experience in Application Maintenance and Operations for enterprise applications.
- Solid 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 troubleshooting skills based on logs, metrics, and alerts.
- Knowledge of monitoring, logging, and observability principles.
- Familiarity with microservices architectures and multi-layer environments.
- Understanding of IAM concepts, Managed Identities, and secret management.
Nice to Have
- Experience operating AI / Generative AI solutions in production.
- Knowledge of Azure OpenAI, embedding services, and vector search.
- Experience with Azure AI Search, Cosmos DB, and Document Intelligence.
- Familiarity with ITIL operational models (Incident, Problem, Change Management).
- Experience in highly critical and security-sensitive enterprise environments.
- One or more Microsoft AI certifications (e.g., Microsoft Certified: Azure AI Engineer Associate – AI-102).
Soft Skills
- Strong analytical and problem-solving mindset.
- Ability to work in cross-functional teams (development, architecture, security).
- Structured, quality-driven approach to service delivery.
- High level of autonomy and responsibility in managing production environments.
- Strong technical communication and documentation skills.
Role Positioning
This role is designed for professionals with experience in complex application operations, who are interested in working on next-generation AI platforms, with a strong focus on reliability, security, and operational continuity.
The position offers the opportunity to work on strategic Generative AI solutions, contributing directly to their long-term stability, performance, and evolution.Enter our world.
Transform with us.
At BIP Consulting, we don’t just adapt to change—we drive it. For over 20 years, we’ve partnered with global businesses to transform challenges into growth opportunities through cutting-edge strategies and advanced technology solutions.
Our growing team of 5,000+ consultants spans 14 countries, fostering a culture of creativity, collaboration, and entrepreneurial spirit. Whether pioneering AI-driven solutions, optimizing data analytics, or shaping the future of tech, we empower professionals to innovate and lead.
Now, we’re excited to explore new horizons in Albania, creating opportunities for talented individuals passionate about shaping the digital landscape.
Joining BIP means being part of a fast-paced, supportive environment where your ideas matter, and your career can soar
Role Context and Objectives
The organization is seeking a professional specialized in Application Maintenance & Operations for Generative AI–based applications.
The candidate will operate 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. This includes supporting runtime operations, monitoring, troubleshooting, tuning, and continuous improvement of distributed applications across multiple environments (e.g., Dev, Test, Prod).
The role sits at the crossroads between the application layer and the infrastructure layer, with a strong focus on observability, system integration, data management, responsible use of AI resources, and strict adherence to security principles and access segregation.
Key Responsibilities
The resource will be responsible for the following activities:
Application Maintenance
- Manage corrective and adaptive maintenance activities for AI applications in production.
- Analyze and resolve application incidents and anomalies across front-end, back-end, and service layers.
- Support application release activities and configuration management across different environments (Dev/Test/Prod).
- Collaborate with development teams to analyze application issues and improve overall software quality.
Operations & Run
- Provide operational support for solutions based on Azure Kubernetes Service (AKS), including management of containerized workloads.
- Continuously monitor application and infrastructure services using Azure Monitor, Log Analytics, and Application Insights.
- Analyze application logs, metrics, and alerts to ensure appropriate levels of reliability and performance.
- Perform advanced troubleshooting on data ingestion pipelines, AI services, search services, and databases.
Data Management & AI Services
- Provide operational support for data persistence services, including:
- Azure SQL Database for structured data;
- Azure Cosmos DB for unstructured data and conversational history;
- Azure Storage Accounts (Blob Storage) for document repositories.
- Verify and support correct content indexing and retrieval through Azure AI Search, including vector search and similarity search.
- Operate and monitor data preprocessing, transformation, and enrichment workflows (Transformation Layer).
Security & Access Management
- Operate and manage application Managed Identities, ensuring adherence to the least privilege principle.
- Support secure handling of secrets and sensitive configurations using Azure Key Vault.
- Verify correct usage of AI services (e.g., Azure OpenAI, LLMs, embeddings, cognitive services) according to architectural governance and policies.
- Collaborate with security teams to ensure compliance with network and security requirements (no public exposure, access via internal network/VPN).
Continuous Improvement & Solution Evolution
- Contribute to the evolution of AI solutions with a focus on scalability, reliability, and cost optimization.
- Propose improvements to logging, monitoring, and application feedback mechanisms.
- Support the go-live and stabilization of new Generative AI use cases, aligned with reference architectures.
Required Technical Skills
- Experience in Application Maintenance and Operations for enterprise applications.
- Solid 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 troubleshooting skills based on logs, metrics, and alerts.
- Knowledge of monitoring, logging, and observability principles.
- Familiarity with microservices architectures and multi-layer environments.
- Understanding of IAM concepts, Managed Identities, and secret management.
Nice to Have
- Experience operating AI / Generative AI solutions in production.
- Knowledge of Azure OpenAI, embedding services, and vector search.
- Experience with Azure AI Search, Cosmos DB, and Document Intelligence.
- Familiarity with ITIL operational models (Incident, Problem, Change Management).
- Experience in highly critical and security-sensitive enterprise environments.
- One or more Microsoft AI certifications (e.g., Microsoft Certified: Azure AI Engineer Associate – AI-102).
Soft Skills
- Strong analytical and problem-solving mindset.
- Ability to work in cross-functional teams (development, architecture, security).
- Structured, quality-driven approach to service delivery.
- High level of autonomy and responsibility in managing production environments.
- Strong technical communication and documentation skills.
Role Positioning
This role is designed for professionals with experience in complex application operations, who are interested in working on next-generation AI platforms, with a strong focus on reliability, security, and operational continuity.
The position offers the opportunity to work on strategic Generative AI solutions, contributing directly to their long-term stability, performance, and evolution.