We are seeking a "Lead Engineer Cloud & AI" to drive the development through deployment of cutting-edge cloud-native AI solutions. This role requires a combination of deep technical expertise in Microsoft Azure, strong DevOps and CI/CD practices, and an engineering mindset focused on delivering impactful and value-centric solutions. The ideal candidate is a collaborative team player who thrives in both research-oriented problem solving and timeline-driven execution.
Key Responsibilities:
Lead the design, development, and deployment of cloud-based solutions on Microsoft Azure.
Implement and maintain DevOps best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and version control using GitHub or Azure DevOps.
Collaborate with data scientists, AI/ML teams, and business stakeholders to deploy and optimize AI models within cloud-native architectures, ensuring seamless integration and performance at scale.
Drive cloud architecture decisions in partnership with Enterprise Architecture, TechOps, and Cybersecurity functions, ensuring scalability, security, and cost efficiency
Build and manage CI/CD pipelines to streamline the deployment process and ensure rapid delivery of high-quality applications.
Advocate and implement Infrastructure as Code (IaC) to automate infrastructure provisioning, ensuring consistency across environments.
Collaborate closely with cross-functional teams, promoting a culture of teamwork and innovation.
Provide technical leadership, mentoring team members, and fostering a continuous learning environment.
Stay up to date with the latest trends in Azure services, AI technologies, and DevOps practices to recommend innovative solutions.