Cloud, Digital Experience; DX), and AI Architecture Lead- our W2
Job Description & How to Apply Below
Job Description
Cloud, Digital Experience (DX), and AI Architecture Lead - Need on our W2
Employment Type
– W2 candidates only
Client Location – Norfolk, VA – 3 Days Onsite
Must Have Skills- AWS Cloud Architecture (VPC, EC2, EKS/ECS, S3, IAM, RDS, networking, security)
- Hybrid Cloud & Network Design (VPC segmentation, routing, firewall, private connectivity)
- Digital Experience (DX) Architecture (Web, Mobile, API, Integration platforms)
- Infrastructure as Code (Terraform, Cloud Formation) & CI/CD pipelines
- AI/ML Architecture on AWS (model deployment, inference endpoints, data ingestion)
- Dev Ops & MLOps (automation, environment patterns, model lifecycle management)
- Security & Compliance (IAM, least privilege, secure APIs, data protection)
- Observability & Operations (monitoring, logging, availability, incident response, model drift)
- Enterprise Digital Platforms
- Cloud Transformation & Modernization
- AI enabled Customer Experience / Intelligent Automation
- AWS Certified Solutions Architect – Associate or Professional (Mandatory)
- AWS Certified Security or Machine Learning – Specialty (Preferred)
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.
- 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.
- 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)
- Produce required architecture and onboarding artifacts, including:
- Cloud Center of Excellence (CCoE) intake
- Information Security intake
- Data governance alignment
- Dev Ops 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
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