Cloud Delivery Engineer (Azure/AWS) for Data/AI Platforms

Job description

Overview We are seeking an experienced Cloud Delivery engineer to work horizontally across our organization, collaborating with Cloud Engineering, Cloud Operations, and cross-platform teams. This role is crucial in ensuring that cloud resources are delivered according to established standards, with a focus on both Azure and AWS platforms. The Cloud Delivery engineer will be responsible for delivery of Data and AI platforms. Responsibilities • Seeking a talented AWS artificial intelligence specialist with following skills. • Provision the cloud resources, ensuring they adhere to approved architecture and organizational standards on both Azure and AWS. • Collaborate closely with Cloud Engineering, Cloud Operations, and cross-platform teams to ensure seamless delivery of cloud resources on both Azure and AWS. • Architecting, Designing, Developing and Implementing AI models and algorithms to address business challenges and improve processes. • Experience in implementing Security Principles and Guardrails to AI Infrastructure. • Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments. • Collaborating with cross-functional teams of data scientists, software developers, and business stakeholders to understand requirements and translate them into AI solutions. • Create and maintain documentation for AI models, algorithms as Knowledge base article • Participate in capacity planning and cost optimization initiatives for multi-cloud resources. • Experience working with Vector DB (Datastax HCD) • Conduct experiments to test and compare the effectiveness of different AI approaches. • Troubleshooting and resolving issues related to AI systems. • Deploying AI solutions into production environments and ensuring their integration with existing systems. • Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes • Research and stay updated on the latest AI and machine learning technology advancements. • Present findings and recommendations to stakeholders, including technical and non-technical audiences. • Providing technical expertise and guidance on AI-related projects and initiatives. • Expereince in creating Deployments for Intelligent Search, Intelligent Document • Processing, Media Intelligence, Forecasting, AI for DevOps, Identity Verification, Content Moderation • Experience in Amazon Bedrock, SageMaker, All Foundational AWS Resources under Compute, Networking, Security, App Runner, Lambda Qualifications • Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred. • 8+ years of experience in IT, with at least 4 years focused on cloud technologies, including substantial experience with both AWS & Azure. • Strong understanding of AWS and Azure services, architectures, and best practices, particularly in Data and AI platforms. • Certifications in both AWS (e.g., AWS Certified Solutions Architect - Professional) Azure (e.g., Azure Solutions Architect Expert). • Experience in working with multiple teams cloud platforms. • Demonstrated ability to work horizontally across different teams and platforms. • Strong knowledge of cloud security principles and compliance requirements in multi-cloud environments. • working experience of DevOps practices and tools applicable to both Azure and AWS. • Experience with infrastructure as code (e.g., ARM templates, CloudFormation, Terraform). • Proficiency in scripting languages (e.g., PowerShell, Bash, Python). • Solid understanding of networking concepts and their implementation in Azure and AWS. Preferred: • Cloud Architecture/specialist. • Experience with hybrid cloud architectures. • Familiarity with containerization technologies (e.g., Docker, Kubernetes) on both Azure and AWS.