Job Description: Cloud, Digital Experience (DX), and AI Architecture Lead- Need on our W2
Mandatory Areas
Employment Type - W2 candidates only
Client Location - Norfolk, VA- 3 Days Onsite
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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)
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Domain Experience (If any)
Enterprise Digital Platforms
Cloud Transformation & Modernization
AI enabled Customer Experience / Intelligent Automation
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Must Have Certifications
AWS Certified Solutions Architect - Associate or Professional (Mandatory)
AWS Certified Security or Machine Learning - Specialty (Preferred)
Job Description: Cloud, Digital Experience (DX), and AI Architecture Lead
Role Overview
Design, implement, and govern targetstate AWS cloud, hybrid, and AIenabled architectures for enterprise and Digital Experience (DX) applications. This role provides endtoend architectural leadership across cloud infrastructure, DX platforms, and AI/ML capabilities, ensuring secure, scalable, resilient, and costeffective solutions aligned with business outcomes.
Key Responsibilities
Architecture & Solution Design
Design and maintain targetstate AWS cloud, hybrid, and AIenabled architectures for enterprise and Digital Experience (DX) applications, encompassing network, compute, storage, IAM, monitoring, AI/ML services, and Dev/Test/Prod environment patterns.
Define endtoend 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, realtime 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
Leastprivilege access
Secure API design
Data protection for training and inference datasets
Model access controls and sensitive data handling
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