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Azure AI Infrastructure Architect

4 months ago

Dallas, United States Cyclotron, Inc. Full time
Job DescriptionJob Description

Azure AI Infrastructure Architect 

Level: Senior
Department: Azure
Location: Anywhere in US (fully remote)
Type: FTE
Pay Range: $135-$185K

 

GENERAL DESCRIPTION & RESPONSIBILITIES 

The Azure AI Infrastructure Architect will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture and requirement definition. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. As an AI Infrastructure Architect, you will play a pivotal role in shaping the technological landscape of our client’s organization, focusing on creating scalable, secure, and high-performance infrastructure for their AI initiatives 

The ideal candidate will possess a diverse set of skills encompassing data management, analytics, and Microsoft and Databricks technology experience. 

  • Data Architecture: 

  • Experience designing and implementing robust data architectures. 

  • Knowledge of data modeling, normalization, and denormalization techniques. 

  • Database Management: 

  • Proficiency in working with relational databases (e.g., SQL Server, Azure SQL Database) and NoSQL databases (e.g., Cosmos DB). 

  • Understanding of database optimization, indexing, and query performance tuning. 

  • Big Data Technologies: 

  • Familiarity with big data technologies, such as Azure Data Lake Storage, Azure Synapse Analytics, and Apache Hadoop. 

  • ETL/ELT Processes: 

  • Expertise in designing and implementing Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes. 

  • Experience with tools like Azure Data Factory, Azure Databricks, or SQL Server Integration Services (SSIS). 

  • Data Integration: 

  • Knowledge of data integration strategies and tools to ensure seamless data flow across different systems. 

  • Familiarity with Azure Logic Apps and Azure Service Bus. 

  • Data Quality and Governance: 

  • Understanding of data quality management principles and data governance practices. 

  • Experience implementing data quality checks and establishing governance frameworks. 

  • Data Analytics and Business Intelligence: 

  • Proficiency in creating meaningful insights through data analytics. 

  • Experience with Power BI for data visualization and reporting. 

  • Data Security and Compliance: 

  • Knowledge of data security best practices and compliance standards. 

  • Experience implementing access controls, encryption, and auditing for sensitive data. 

  • Azure Services: 

  • Deep understanding of Azure services related to data, including Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Synapse Analytics, and more. 

  • Machine Learning Integration: 

  • Familiarity with integrating machine learning models into the data platform using Azure Machine Learning or other relevant tools. 

  • Programming and Scripting: 

  • Proficiency in programming languages such as SQL, Python, and PowerShell for data manipulation and automation tasks. 

  • Collaboration and Communication: 

  • Strong interpersonal and communication skills to collaborate with clients and effectively convey technical information. 

  • Project Management: 

  • Experience in managing data platform projects from conception to implementation. 

  • Familiarity with project management methodologies, such as Agile or Scrum. 

  • Continuous Learning: 

  • A proactive approach to staying updated on the latest advancements in data management, analytics, and Microsoft technologies. 

  • Certifications: 

  • Relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate, can validate the candidate's expertise in Azure data services. 

  • Problem-Solving Skills: 

  • Ability to analyze complex data-related challenges and propose effective solutions. 

PLACEMENT CRITERIA & REQUIREMENTS 

  • Experience designing and delivering cloud migration projects 

  • Experience with Microsoft CAF/WAF engagements and conversions 

  • 8+ years cloud architecture expertise with high-performance cloud architectures. 

  • Bachelor’s or higher degree in Computer Science, Engineering, or related field 

  • Strong understanding of AI concepts, machine learning and deep learning frameworks 

  • Current Microsoft certifications 

TECHNICAL SKILLS REQUIRED 

General  

  • Proven experience as an AI Infrastructure Architect or a similar role. 

  • In-depth knowledge of Microsoft Azure services, with a focus on AI-related services. 

  • Strong understanding of AI concepts, machine learning, and deep learning frameworks. 

  • Expertise in designing and implementing secure, scalable, and high-performance cloud architectures. 

  • Hands-on experience with infrastructure as code (IaC) tools, preferably Azure Resource Manager (ARM) templates or Terraform. 

  • Excellent communication and collaboration skills to work effectively with cross-functional teams. 

DESIRED SKILLS 

The Ideal Candidate should have familiarity and/or expertise with the following: 

  • Cloud Platforms: 

  • Microsoft Azure (Essential) 

  • Familiarity with other cloud providers (e.g., AWS, Google Cloud Platform) 

  • AI Technologies: 

  • Machine learning frameworks: TensorFlow, PyTorch 

  • Deep learning frameworks: Keras, Microsoft Cognitive Toolkit (CNTK) 

  • Azure Services: 

  • Azure Machine Learning 

  • Azure Cognitive Services (Computer Vision, Speech, Language) 

  • Azure Kubernetes Service (AKS) 

  • Azure Virtual Machines 

  • Azure Storage (Blob, Data Lake) 

  • Azure Databricks 

  • Azure Networking (Virtual Network, ExpressRoute, VPN) 

  • Infrastructure as Code (IaC): 

  • Azure Resource Manager (ARM) templates 

  • Terraform 

  • Security and Compliance: 

  • Azure Security Center 

  • Azure Active Directory 

  • Azure Policy 

  • Compliance standards (e.g., GDPR, HIPAA) 

  • Networking and Connectivity: 

  • Azure Virtual Network 

  • Azure ExpressRoute 

  • Azure VPN Gateway 

  • Containers and Orchestration: 

  • Docker 

  • Kubernetes 

  • Data Storage and Management: 

  • Azure SQL Database 

  • Azure Cosmos DB 

  • Azure Blob Storage 

  • High-Performance Computing (HPC): 

  • Azure High-Performance Computing (HPC) solutions 

  • InfiniBand networking 

  • Monitoring and Logging: 

  • Azure Monitor 

  • Azure Log Analytics 

  • Application Insights 

  • Collaboration Tools: 

  • Azure DevOps for CI/CD 

  • Git for version control 

  • Scripting and Automation: 

  • Python 

  • PowerShell 

  • Bash 

  • Documentation: 

  • Markdown 

  • Wiki tools (e.g., Azure DevOps Wiki) 

  • Version Control Systems: 

  • Git 

  • Problem-Solving Skills: 

  • Troubleshooting and debugging skills 

  • Root cause analysis 

  • Certifications: 

  • Microsoft Certified: Azure Solutions Architect Expert 

  • Microsoft Certified: Azure AI Engineer Associate 

  • Relevant Azure certifications based on the specific services used 

NON-TECHNICAL SKILLS 

Business Engagement 

  • Demonstrated Experience 

  • Providing thought leadership and business strategy acumen around advanced analytics and business information lifecycle 

  • Leading customers through a value-based decision-making cycle 

  • Developing functional, non-functional and technical requirements based on business imperatives 

  • Presenting to customer executive teams with authority and purpose 

CYCLOTRON EXPECTATIONS 

These are the traits that we hold in the same regard for all employees, also viewed as performance indicators.  Each employee should uphold these attributes.  

  • Communication and Interpersonal Skills – verbal and written, professional, concise, and effective. 

  • Collaboration and Teamwork - share knowledge, build alliances, show respect. 

  • Personal Ownership and Responsibility – take initiative, solve problems, be fully present. 

  • Customer Focus – Proactive management or Client expectations and needs. 

  • Time Management and Productivity – Set Goals, Commit, Record, Communicate 

Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. 

Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.

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