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Architect (Level: Manager)
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CREQ231996 Requisition #
We are seeking an experienced Azure AI/ML & Integration Architect to design, build, and optimize enterprise-scale AI/ML solutions. The ideal candidate will have expertise in AI/ML architecture, integration services, model lifecycle management, and cloud-native deployments with a focus on Azure technologies. This role requires both technical leadership and the ability to collaborate with cross-functional teams to deliver secure, scalable, and high-performing AI solutions.
Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model development, training, deployment, and monitoring.
10+ years in enterprise architecture, with 5+ years in Azure AI/ML and integration.

Proven experience as an AI/ML Architect with strong knowledge of Azure ecosystem.

Hands-on expertise with Azure AI Foundry, Azure Machine Learning, Databricks, Mosaic AI.

Strong knowledge of model development, deployment, evaluation, and governance frameworks.

Experience with feature engineering, vector databases, semantic search, and RAG pipelines.

Proficiency in API-first architecture, integration services, and Azure API Management.

Solid background in data engineering tools: Azure Data Factory, Synapse, Event Hub, Kafka.

Strong understanding of security, compliance, and responsible AI principles.

Familiarity with Kubernetes / AKS, CI/CD for AI/ML, and MLOps best practices.

Excellent communication, stakeholder engagement, and leadership skills.



We are seeking an experienced Azure AI/ML & Integration Architect to design, build, and optimize enterprise-scale AI/ML solutions. The ideal candidate will have expertise in AI/ML architecture, integration services, model lifecycle management, and cloud-native deployments with a focus on Azure technologies. This role requires both technical leadership and the ability to collaborate with cross-functional teams to deliver secure, scalable, and high-performing AI solutions.
Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model development, training, deployment, and monitoring. 
10+ years in enterprise architecture, with 5+ years in Azure AI/ML and integration. 

Proven experience as an AI/ML Architect with strong knowledge of Azure ecosystem. 

Hands-on expertise with Azure AI Foundry, Azure Machine Learning, Databricks, Mosaic AI. 

Strong knowledge of model development, deployment, evaluation, and governance frameworks. 

Experience with feature engineering, vector databases, semantic search, and RAG pipelines. 

Proficiency in API-first architecture, integration services, and Azure API Management. 

Solid background in data engineering tools: Azure Data Factory, Synapse, Event Hub, Kafka. 

Strong understanding of security, compliance, and responsible AI principles. 

Familiarity with Kubernetes / AKS, CI/CD for AI/ML, and MLOps best practices. 

Excellent communication, stakeholder engagement, and leadership skills.

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