Job Description

As a Senior Engineer, AI Architecture, you will design, develop, and implement internally built AI solutions leveraging Azure-based technologies, with a focus on Azure Vision, Azure Language, and Azure OpenAI Service. You will collaborate with cross-functional teams to ensure technical requirements satisfy business goals, identify AI opportunities, and design and build scalable and innovative solutions that drive business value.

What you will do

Solution Architecture

• Design end-to-end AI solutions leveraging Azure Vision, Azure Language, and Azure OpenAI Service, considering factors such as data ingestion, preprocessing, modeling, deployment, and monitoring.

Requirement Analysis

• Collaborate with technical stakeholders to refine requirements, understand use cases, and define AI solution objectives, ensuring alignment with business goals and priorities.

AI Implementation

• Implement AI solutions, including data integration, model development, integration with Azure services (e.g., Azure Cognitive Services, Azure Machine Learning), and deployment to cloud environments.

Custom Model Development

• Develop custom machine learning models and algorithms using Azure Machine Learning, Azure Databricks, or other Azure-based tools, tailored to specific business needs and use cases.

Integration and Orchestration

• Integrate AI solutions with existing systems, applications, and data pipelines, leveraging Azure services such as Azure Data Factory, Azure Functions, and Azure Logic Apps for orchestration and automation.

Performance Optimization

• Optimize AI models and algorithms for performance, scalability, and efficiency, utilizing techniques such as distributed computing, parallel processing, and model tuning on Azure infrastructure.

Security and Compliance

• Ensure the security and compliance of AI solutions, adhering to Azure security best practices, data privacy regulations, and industry standards (e.g., GDPR, HIPAA).

Monitoring and Maintenance

• Implement monitoring and logging mechanisms to track the performance, reliability, and usage of AI solutions, and proactively identify and address issues to ensure uptime and availability.

Documentation and Training

• Create technical documentation and architecture diagrams for associated projects and provide training and support to internal teams on Azure AI technologies and tools.

What you need

Required:

• Bachelor's degree in computer science, artificial intelligence, data science, or related field.
• 2+ years of experience in software engineering, data engineering, or AI architecture roles, with a focus on building AI solutions on Azure.
• Experience in Azure AI services, including Azure Cognitive Services (Vision, Language, Speech), Azure Machine Learning, and Azure OpenAI Service.
• Experience with Python, R, or C#.
• Experience in Azure Synapse Analytics, Azure Data Lake, and Azure Kubernetes Service.
• Experience in designing and implementing machine learning models, natural language processing (NLP), computer vision applications, and other AI technologies.
• Experience in DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) tools for automated deployment and management of Azure resources.

Preferred:

• Master’s degree.
• Azure certifications such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert
• Certifications in AI related disciplines, such as Microsoft Certified: Azure AI Engineer Associate.

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