AI Architect Manager AI

We are seeking an experienced AI Architect with deep expertise in Azure AI Microsoft Fabric and Machine Learning ecosystems to design and implement enterprise-grade AI solutions.
The ideal candidate combines strong technical leadership with hands-on experience architecting end-to-end AI/ML systemsfrom data readiness through model deploymentleveraging Azures cloud-native and Fabric-based services.
 

Key Responsibilities

• Architect and lead the design and implementation of AI/ML solutions on Azure Cloud (Azure Machine Learning Azure Databricks Synapse Azure AI Foundry Microsoft Fabric Cognitive Services Azure OpenAI etc.).
• Define end-to-end AI architecture encompassing data pipelines feature stores model training deployment and monitoring.
• Partner with stakeholders to translate business challenges into AI-driven solutions and technical blueprints.
• Design scalable and secure architectures adhering to best practices in data governance MLOps LLMOps and cost optimization.
• Integrate Microsoft Fabric as the unified data foundation for AI workloads ensuring governed high-quality data access and lineage visibility.
• Lead MLOps initiatives including model CI/CD versioning monitoring and drift detection using Azure DevOps Azure ML Pipelines and Azure AI Foundry.
• Evaluate and implement Generative AI (GenAI) and LLM-based solutions using Azure OpenAI Cognitive Services and frameworks such as LangChain or LangGraph.
• Establish observability and monitoring frameworks using Azure Monitor Application Insights MLflow and Databricks dashboards for AI workloads.
• Collaborate with cross-functional teamsData Engineers Data Scientists and DevOpsto ensure seamless integration and delivery of AI products.
• Provide technical mentorship and architectural guidance to engineering teams.

Stay current with emerging trends in AI/ML cloud technologies and GenAI advancements.

Qualifications :

• 10 years of overall IT experience including 5 years in AI/ML solutioning and 3 years in Azure-based architecture.
• Deep expertise in the Azure AI ecosystemAzure Machine Learning Azure Databricks Azure AI Foundry Microsoft Fabric Azure Cognitive Services Azure OpenAI Azure Synapse and Data Lake.
• Strong proficiency in Python and major ML frameworks (PyTorch TensorFlow Scikit-learn).
• Proven experience in MLOps and LLMOps design and automation using Azure DevOps Docker and Kubernetes.
• Hands-on experience integrating AI solutions with Microsoft Fabric and Azure Data Factory for data preparation and governance.
• Strong understanding of distributed systems model lifecycle management and AI system scalability.
• Experience in LLM fine-tuning prompt engineering or AI solution integration with enterprise applications.
• Excellent communication and stakeholder management skills with a strategic mindset.

Remote Work :

No

Employment Type :

Full-time