Job Description:

01_AI Solutions on Azure

We are currently working on a very extensive tender (Austria). 
This also includes requirements relating to the topics of “AI Solutions” on Azure; key activities required by customer are: 
1. Integrate AI services with enterprise systems, APIs, and identity controls, ensuring secure and compliant connectivity
2. Apply compliance, data governance, and ethical AI frameworks, including bias testing and mitigation strategies and Data Protection Impact Assessments (DPIA) where required.
3. Monitor usage, costs, and anomalies through dashboards and alerts and maintain audit trails for AI decisions
4. Manage model lifecycle, including versioning, retraining, and deprecation in alignment with governance policies 
5. Implement disaster recovery strategies and conduct periodic restore testing for AI models and data with defined RTO/RPO targets and encrypted backups
6. Incident and problem management for AI-related issues in alignment with ITIL best practices as well as request fulfillment and knowledge base maintenance
7. Maintain model registry, feature store, lineage and reproducibility evidence; ensure environment segregation (Dev/Test/Prod)
8. Configure and verify triggers, bindings, workflows, and deployment slots for event-driven execution in compliance with governance policies
9. Establish multi cloud fallback and portability controls to reduce vendor lock in

We need support in developing a concept for these topics.
02_AI Serverless Compute on Azure

We are currently working on a very extensive tender (Austria). 

This also includes requirements relating to the topics of “AI Serverless Compute” on Azure; key activities required by customer are: 

1. Provisioning and configuration of OpenShift namespaces, node pools, and autoscaling policies
2.  Integration of RBAC/Active Directory groups, network policies, ingress controllers, and container registries
3. Implementation of monitoring, alerting, log retention, and backup/disaster recovery mechanisms
4. Management of secrets, persistent storage classes and pod security policies
5. Execution and verification of container security, vulnerability management, patching, and license governance, including compliance alignment
6.  Implementation of disaster recovery strategies and periodic restore testing
7. Incident and problem management for containerized environments in alignment with ITIL best practices

We need support in developing a concept for these topics.
03_Containerized Application Deployment on Azure

This also includes requirements relating to the topics of “Containerized Application Deployment” on Azure; key activities required by customer are: 

1. Provisioning and configuration of OpenShift namespaces, node pools, and autoscaling policies
2.  Integration of RBAC/Active Directory groups, network policies, ingress controllers, and container registries
3. Implementation of monitoring, alerting, log retention, and backup/disaster recovery mechanisms
4. Management of secrets, persistent storage classes and pod security policies
5. Execution and verification of container security, vulnerability management, patching, and license governance, including compliance alignment
6.  Implementation of disaster recovery strategies and periodic restore testing
7. Incident and problem management for containerized environments in alignment with ITIL best practices

We need support in developing a concept for these topics.
04_FinOps Cloud Computing

We are currently working on a very extensive tender (Austria). 
This also includes requirements relating to the topics of “FinOps Public Cloud Computing”; key activities required by customer are: 

We are looking for an expert with experience in the Azure Cloud FinOps framework who has already defined best practices and principles and implemented them for customers.
Consulting approach in the short term, during the current tender process = approx. 1 week. Upon receipt of the tender award, assignment lasting several weeks starting in May 2025

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