Consulting Azure Cloud Engineer

Our client is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world.

They help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. They assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. They collaborate with universities to educate students, and support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. They partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking.

Responsibilities:

• Design and implement infrastructure solutions using Azure OpenAI, Azure Front Door, and APIM to support Cognitive Services.
• Collaborate with cross-functional teams to integrate AI capabilities into existing and new applications.
• Optimize and manage the performance, scalability, and security of AI infrastructure.
• Develop and maintain documentation for infrastructure design, configuration, and best practices.
• Troubleshoot and resolve complex technical issues related to AI infrastructure.
• Work on cloud infrastructure to ensure seamless deployment and operation of the AI platform.
• Stay updated with the latest advancements in Azure services and AI technologies to ensure the infrastructure remains cutting-edge.
• Provide technical leadership and mentorship to junior engineers and team members

Requirements:

• Software Engineering experience.
• BS Engineering/Computer Science or equivalent experience required; advanced degree preferred.
• Bachelor’s degree in engineering, related field, or equivalent of experience.
• Proven experience in designing and managing Azure-based infrastructure, specifically with Azure OpenAI, Front Door, and APIM.
• Strong understanding of Cognitive Services and AI/ML concepts.
• Proficiency in scripting and automation using tools such as PowerShell, Azure CLI, or similar.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication skills and the ability to collaborate effectively with diverse teams.
• Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.