Bachelor's degree in Computer Science, Engineering, or related field.
15+ years in software engineering, focusing on cloud development.
Proficiency in Python, Java, C#, Angular, or React.
5+ years of Azure experience.
3+ years of deploying AI and ML models on cloud platforms.
3+ years of applying AI and ML concepts like supervised learning and NLP.
Responsibilities
Design and implement scalable, AI-enabled cloud platforms to enhance developer experience.
Ensure security, scalability, and reliability of cloud solutions using native tools.
Integrate AI and ML models with cloud-based services like Azure OpenAI.
Introduce CI/CD pipelines for continuous development and delivery.
Optimize cloud solution performance and cost through monitoring tools.
Collaborate with cross-functional teams to deliver high-quality solutions.
Research and evaluate new AI and cloud technologies for best practices.
Benefits
Opportunities for professional development and learning.
Flexible work environment and schedule.
Access to cutting-edge technologies and tools.
Collaborative team culture focused on innovation.
Full Job Description
Azure AI Architect
Responsibilities
Design and implement scalable and secure AI-enabled cloud platforms that enhance developer experience (DX) and accelerate vertical solution delivery.
Ensure the security, scalability, reliability, and availability of cloud solutions, using cloud-native tools and services, such as Infrastructure-as-Code, Azure Monitor, Advance Threat Detection, Defender etc.
Integrate and deploy AI and machine learning models and frameworks, such as TensorFlow, PyTorch, MXNet, etc., using cloud-based platforms and services, such as Azure OpenAI Service, AI Search, Machine Learning Services, etc.
Introduce CI/CD pipelines that provide rapid feedback and allow continuous development and delivery.
Optimize and monitor the performance, cost, and efficiency of cloud solutions, using cloud-based tools and services, such as Azure Activity Log, Application Insights, Cost Management, etc.
Collaborate with other engineers, data scientists, product managers, and stakeholders to understand business needs and deliver high-quality cloud solutions.
Research and evaluate new technologies and best practices in AI and cloud computing and share knowledge and insights with the team.
Required Qualifications and Experience
Bachelor's degree in Computer Science, Engineering or other related scientific or technical discipline.
At least 15 years of experience in software engineering, with a focus on cloud development.
Proficient in one or more programing languages including Python, Java, C#, Angular, React.
5 or more years of experience with Azure.
3 or more years of experience in integrating and deploying AI and machine learning models and frameworks, using cloud-based platforms and services.
3 or more years of experience using AI and machine learning concepts and techniques, such as supervised learning, unsupervised learning, deep learning, natural language processing, computer vision, etc.
Preferred Qualifications and Experience
Previous experience as a hands-on CTO.
Full-stack development experience.
Experience in designing and implementing cloud architectures that support AI and machine learning applications, using cloud-native tools and services.
Experience in optimizing and monitoring the performance, cost, and efficiency of cloud solutions, using cloud-based tools and services.
Excellent communication, collaboration, and problem-solving skills.
