Need: AWS Cloud Architect: Norfolk, VA (Need Only Locals)

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
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