**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 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**
**Key Responsibilities**
The resource will be responsible for the following activities:
**Application Maintenance**
- 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.
**Operations & Run**
- 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.
**Data Management and AI Services**
- Operational support for the use of
**data persistence services**
, including:
- **Azure SQL DB**
for structured data;
- **Azure Cosmos DB**
for unstructured data and conversational history;
- **Azure Storage Account (Blob Storage)**
for document repositories.
- Verification and support of correct
**content indexing and querying**
through
**Azure AI Search**
(vector search and similarity search).
- Operational oversight of
**data preprocessing, transformation, and enrichment flows**
(Transformation Layer).
**Security and Access Management**
- 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 (no public exposure, access via internal network/VPN).
**Continuous Improvement and Evolution Support**
- 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**
, in line with reference architectures.
**Required Technical Skills**
- 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.
**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 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**
**Key Responsibilities**
The resource will be responsible for the following activities:
**Application Maintenance**
- 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.
**Operations & Run**
- 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.
**Data Management and AI Services**
- Operational support for the use of
**data persistence services**
, including:
- **Azure SQL DB**
for structured data;
- **Azure Cosmos DB**
for unstructured data and conversational history;
- **Azure Storage Account (Blob Storage)**
for document repositories.
- Verification and support of correct
**content indexing and querying**
through
**Azure AI Search**
(vector search and similarity search).
- Operational oversight of
**data preprocessing, transformation, and enrichment flows**
(Transformation Layer).
**Security and Access Management**
- 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 (no public exposure, access via internal network/VPN).
**Continuous Improvement and Evolution Support**
- 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**
, in line with reference architectures.
**Required Technical Skills**
- 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.
