Senior Azure AI Architect

3 days ago

Reston, Virginia, United States ICF International Inc Full time
Job Title: Senior Azure AI Architect

We are seeking a highly skilled Senior Azure AI Architect to join our team at ICF International Inc. As a Senior Azure AI Architect, you will be responsible for designing and implementing scalable and secure AI-enabled cloud platforms that enhance developer experience (DX) and accelerate vertical solution delivery.

Key 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.
Requirements:
  • 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:
  • 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.

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