AZURE AI Architect - ((Reston, VA)) Remote

Role: Azure AI Architect
Location: Mainly remote but must be local to Reston to go onsite when needed for Whiteboarding (will submit relocation candidates)
Duration: Direct Hire
Clearance: (no clearance but need a )

Top Skills (not flexible): Great tenure in their positions, last role must be for at least 2 years and prior roles cannot be short term, Azure AI - cognitive services, AI search services, and AI Foundry (used to be ML studio/Cognitive

Data mesh experience (Synapse, Databricks, AWS Glue types of tools)

Infrastructure as Code (Terraform, Pulumi, CI/CD)

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 from a top 30 US School.
• 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.
• Passion for learning and innovation.

Thanks and Regards,

Murali Sharma

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