What are the responsibilities and job description for the Azure Cloud Architect position at Sensiple Inc.?
Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specializing in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.
With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.
By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.
One of our client is looking for a Azure Cloud Architect @ Niles IL Please find below the details of the position.
Job Role: Azure Cloud Architect AI/ML & Data Services
Location: Niles, IL Hybrid 2 to 3 days onsite in a week
Contract Only on W2
Key Responsibilities
- 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.
Required Qualifications
- 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).
Preferred Qualifications
- 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.
If you find yourself suitable for this position, kindly send your updated resume and expected hourly rate to elangovan dot t at sensiple dot com
Regards
Elangovan T | Sensiple Inc.,
elangovan dot t at sensiple dot com
555 US Highway 1 S, Ste 330 Iselin, NJ 08830
Sensiple, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to gender, race, colour, religion, sex, national origin, veteran or disability status.