Sr. Azure AI Architect (AI/MLOps)

We are looking for an exceptional Azure AI Architect who can design and implement reusable, scalable, secure, and innovative cloud solutions that leverage the power of AI and machine learning.

You will be part of a cross-functional team that works on cutting-edge projects in various domains, such as healthcare, climate, energy, and finance. You will be responsible for designing and developing re-usable cloud architectures that improve developer experience (DX) and accelerate differentiated vertical solution delivery. You will also be involved in researching and evaluating new technologies and best practices in AI and cloud computing. If you are a seasoned cloud architect with extensive experience in software engineering, excited to come to work every morning to learn and apply cloud-native technologies and AI, this is the role for you.

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 7 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.

• Passion for learning and innovation.