Cloud Delivery Engineer

Cloud Delivery Engineer (Azure/AWS) for Data/AI PlatformsOverviewWe 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, LambdaQualifications- Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.- 9+ 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.