Cloud, Digital Experience (DX), and AI Architecture Lead- Need on our W2

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