AI Cloud Solution Architect

Design and govern scalable, secure, reliable, and cost-efficient cloud architecture for AI products and solutions, ensuring cloud infrastructure effectively supports AI workloads, solution deployment, integration, and business growth

Main Responsibilities:

1. Design end-to-end cloud architecture for AI solutions, covering compute, storage, networking, databases, integration, and AI/ML workloads.
2. Define cloud architecture standards and design principles to ensure scalability, availability, security, interoperability, and performance.
3. Design cloud infrastructure for AI workloads, including model development, training, inference, deployment, and integration with enterprise platforms.
4. Collaborate with Solution Architect and AI Core Solutions to translate solution requirements into appropriate cloud architecture and technology components.
5. Optimize cloud performance and cost, recommending appropriate cloud services, capacity, deployment models, and resource utilization.
6. Ensure architecture compliance and technical governance, addressing security, data privacy, resilience, and operational requirements throughout the solution lifecycle

Requirements:

1. Min. 5 years in cloud infrastructure, cloud architecture, or solution architecture, preferably supporting AI/ML, data-intensive, or enterprise digital solutions, with strong knowledge of cloud security, networking, containers, scalability, resilience, and cost optimization
2. Certification: AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Professional Cloud Architect, Kubernetes/CKA, or equivalent cloud architecture certification