AWS Cloud Architect

Norfolk, MA - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Hello All Hope you are doing great Please go through the job description and let me know your interest. Job Title: AWS Cloud Architect Work Location: Norfolk VA (Hybrid from Day 1) (Need Only Locals) Duration: Long Term Contract Must Have Skills Skill 1 AWS Cloud Architecture (VPC EC2 EKS/ECS S3 IAM RDS networking security) Skill 2 Hybrid Cloud & Network Design (VPC segmentation routing firewall private connectivity) Skill 3 Digital Experience (DX) Architecture (Web Mobile API Integration platforms) Skill 4 Infrastructure as Code (Terraform CloudFormation) & CI/CD pipelines Skill 5 AI/ML Architecture on AWS (model deployment inference endpoints data ingestion) Skill 6 DevOps & MLOps (automation environment patterns model lifecycle management) Skill 7 Security & Compliance (IAM least privilege secure APIs data protection) Skill 8 Observability & Operations (monitoring logging availability incident response model drift) Job Description: Cloud Digital Experience (DX) and AI Architecture Lead Role Overview Design implement and govern target state AWS cloud hybrid and AI enabled architectures for enterprise and Digital Experience (DX) applications. This role provides end to end architectural leadership across cloud infrastructure DX platforms and AI/ML capabilities ensuring secure scalable resilient and cost effective solutions aligned with business outcomes. Key Responsibilities Architecture & Solution Design Design and maintain target state AWS cloud hybrid and AI enabled architectures for enterprise and Digital Experience (DX) applications encompassing network compute storage IAM monitoring AI/ML services and Dev/Test/Prod environment patterns. Define end to end Digital Experience (DX) solution architectures including web mobile API integration and AI/ML augmentation layers such as personalization recommendations intelligent search and conversational interfaces (chatbots). Ensure architectures meet scalability performance resiliency availability and user experience requirements. Network & Connectivity Design AWS VPC architectures including subnet segmentation IP addressing routing firewall rules and private connectivity. Support secure hybrid connectivity DX platform integrations and AI/ML workloads including data ingestion pipelines real time inference and decisioning services. Infrastructure as Code & Automation Develop and standardize Infrastructure as Code (IaC) patterns and CI/CD deployment pipelines. Enable repeatable governed deployments for: Cloud onboarding DX application delivery AI/ML platform components (model deployment inference endpoints feature services) Governance Security & Compliance Produce required architecture and onboarding artifacts including: Cloud Center of Excellence (CCoE) intake Information Security intake Data governance alignment DevOps and MLOps readiness Operational readiness documentation Embed security by design across AWS DX and AI/ML solutions including: IAM role and policy design Authentication and authorization models Least privilege access Secure API design Data protection for training and inference datasets Model access controls and sensitive data handling AI/ML Enablement & Modernization Assess applications and workloads to identify AI/ML enablement opportunities such as intelligent automation customer insights and content personalization. Recommend and define migration and modernization strategies including lift and shift rehost refactor and AI assisted enhancements. Translate recommendations into implementation architectures roadmaps and sequencing plans. Delivery Oversight & Execution Provide hands on architectural oversight for end to end cloud DX and AI/ML initiatives. Ensure alignment across application API data and model components addressing dependencies data pipelines and runtime requirements across environments. Partner closely with platform data AI/ML and delivery teams to ensure architectural intent is realized. Operations & Run State Definition Define and document run state and operational requirements for cloud DX and AI/ML workloads including: Availability and resiliency standards Monitoring logging and observability Model performance monitoring and drift detection Incident response and operational baselines Cost Sizing & Optimization Provide technical input for cost modeling and capacity planning including: Compute and storage sizing AI/ML training and inference assumptions Runtime usage patterns Cost optimization strategies Support decision making across on prem vs. cloud and traditional vs. AI enabled solution options. Collaboration & Documentation Coordinate with AWS platform data AI/ML deployment and DX delivery teams to define: Build responsibilities Prerequisites and provisioning boundaries MLOps handoffs Operational ownership models Create and maintain technical deliverables including: Architecture and reference diagrams Network and data flow diagrams AI/ML reference architectures Build guides and runbooks Configuration baselines Implementation standards for cloud hybrid DX and AI enabled environments

Thanks & Regards
Satnam Singh
Email :

Hello All Hope you are doing great Please go through the job description and let me know your interest. Job Title: AWS Cloud Architect Work Location: Norfolk VA (Hybrid from Day 1) (Need Only Locals) Duration: Long Term Contract Must Have Skills Skill 1 AWS Cloud Architecture (VPC EC2 EKS/...