Azure Cloud Architect - AI/ML & Data Services

MOONITSOLUTIONS INC

Niles, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Artificial Intelligence Microsoft Azure Cloud Computing Cloud Engineering Cyber Security Continuous Integration Information Engineering DevOps Github Identity and Access Management Machine Learning Role-Based Access Control

+20 more

Azure Active Directory Azure Machine Learning Azure Data Lake Data Streaming Azure Data Factory Large Language Models Snowflake Multi-Cloud HybridCloud Kubernetes Bicep Azure AKS Data Management Machine Learning Operations Data Lakehouse Terraform Stream Processing Azure Synapse Analytics Stream Analytics Databricks

Job description

Architect, design, and implement end-to-end Azure cloud solutions with a focus on AI/ML workloads, data engineering pipelines, and platform infrastructure.
Lead the adoption and integration of Azure AI/ML services including Azure Machine Learning, Azure OpenAI Service, Cognitive Services, and Snowflake.
Define and enforce cloud architecture standards, patterns, and best practices across development teams.
Design secure, scalable data platforms using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, and related services.
Collaborate with data scientists and ML engineers to operationalize ML models through MLOps practices (CI/CD for models, monitoring, retraining pipelines).
Drive infrastructure-as-code (IaC) adoption using Terraform, Bicep, or ARM templates.
Conduct architecture reviews, cloud readiness assessments, and provide technical guidance on migrating on-premises workloads to Azure.
Ensure compliance with security, governance, and cost management requirements (Azure Policy, RBAC, Defender for Cloud, FinOps).
Mentor and upskill engineering teams on Azure best practices and AI/ML service capabilities.
Engage with stakeholders to present architecture proposals, roadmaps, and technical recommendations.

Requirements

8+ years of experience in cloud architecture and engineering, with at least 5 years focused on Microsoft Azure.
Proven experience architecting and deploying AI/ML solutions on Azure at scale.
Deep hands-on expertise with Azure ML, Azure OpenAI, Azure Databricks, Synapse Analytics, Data Factory, and Azure Kubernetes Service (AKS).
Strong proficiency in infrastructure-as-code using Terraform, Bicep, or ARM templates.
Solid understanding of MLOps, DevOps, and CI/CD pipelines (Azure DevOps, GitHub Actions).
Experience with cloud networking, security architecture, identity management (Entra ID / AAD), and compliance frameworks on Azure.
Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
Microsoft Azure certifications (e.g., Azure Solutions Architect Expert - AZ-305, Azure AI Engineer - AI-102)., * Experience with Azure AI Foundry, Prompt Flow, or LLM orchestration frameworks (LangChain, Semantic Kernel).
Familiarity with multi-cloud or hybrid cloud architectures (Azure Arc).
Background in data mesh, data lakehouse, or modern data architecture patterns.
Experience with real-time data streaming using Azure Event Hubs or Azure Stream Analytics.
Prior experience in a consulting, pre-sales, or solutions architecture capacity.
Knowledge of responsible AI practices and AI governance frameworks.