About the job:
We are looking for a Cloud AI Engineer to design, deploy, and manage scalable AI solutions on Azure, driving innovation with secure, high-performance cloud infrastructure.
Responsibilities
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Design, develop, and deploy cloud-based AI solutions integrating ML models and AI tools.
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Collaborate with data scientists and engineers to deliver scalable AI models on Azure.
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Implement automation for deployment, monitoring, and management of AI workloads.
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Optimize cloud infrastructure for performance, security, and cost efficiency.
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Manage Azure AI Foundry, AI Hub, OpenAI, Azure ML, Azure Data Factory, Kubernetes (AKS), and cloud networks.
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Develop APIs and data pipelines connecting AI models to other systems.
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Monitor, troubleshoot, and resolve cloud AI system issues.
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Ensure compliance with security standards and industry best practices.
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Provide guidance and support to the team for continuous improvement.
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Participate in Cloud Center of Excellence (CCoE) activities and collaborate with Cloud Architects.
Qualifications
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4-6 years’ experience in cloud solutioning and deployment (banking sector preferred).
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2-4 years’ experience supporting AI platforms on cloud.
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Hands-on experience with Azure AI services and cloud infrastructure.
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Proficient with Terraform, Azure DevOps, PowerShell/Bash scripting, and cloud IaaS/PaaS.
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Strong knowledge of cloud architecture, networking, security, monitoring, and compliance.
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Experience in large-scale production environments, upgrades, and migrations.
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Problem-solving skills with ability to manage incidents and ensure high availability.
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AI or cloud technology certifications preferred.