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.