Sr. DevOps Engineer, AI

Overview

We are in search of a DevOps Engineer with a specialization in Azure AI Studio, Azure Open AI, Microsoft Copilots, AI and ML methodologies, and AWS Bedrock. In this role, you will be the guiding force behind our AI initiatives, providing expertise and leadership to all users across the organization who have AI use cases. Your focus will be on architecting, developing, and implementing advanced AI solutions while ensuring alignment with best practices and business objectives.

Responsibilities

• Responsible for maintaining the tools and processes for a large, enterprise level system in a fast-paced, agile, service-oriented environment. 
• Good understanding of the full stack software development (databases, services, REST, client-side, user interface). 
• Scale infrastructure to meet rapidly increasing demand. Monitor site stability and performance and troubleshoot site issues. 
• Build and maintain a resilient, secure, and efficient SaaS application platform to meet established SLAs. 
• Provide support to development teams that use the automated infrastructure. Collaborate with developers to bring new features and services into production. 
• Support Engineering automation efforts with development and scripting skills 
• Automate operational processes using code. 
• Emphasize automation, implement processes, procedures, and best practice guidelines for code management. 
• Manage cross-functional requirements working with Engineering, Product, Services, and other departments. 
• Drive technical designs to consensus and approval. 
• Guide teams with DevOps best practices, including improved scalability, performance, reliability, and speed to market. 
• Document and diagram workflows and environments and communicate changed both verbally and in writing. 
• Interface with leadership, Group Leads, and Lead Architects to convey infrastructure requirements, plan, and schedule deployment of tasks, and resolve any issues that impact deployment of the Application delivery systems.  
• Implement and optimize AI algorithms and models.Collaborate with cross-functional teams to understand business requirements and design effective AI solutions.
• Integrate AI technologies, such as Cognitive Services, into our platform.
• Stay up to date with the latest advancements in AI and ML and propose innovative solutions.
• Ensure the scalability, reliability, and performance of the AI platform.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 2 years of …