Senior Enterprise Infrastructure Architect - Cloud /AI

Request Technology, LLC; Houston (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Request Technology, LLC is seeking a senior Cloud Architect to shape our cloud and infrastructure strategy across multi-cloud and on‑prem environments. You will design scalable architectures and guide migrations in a hybrid setup.

We value expertise in AI workloads, security governance, and IaC practice, with strong scripting and CI/CD experience. The role requires 10+ years in tech and cloud certifications.

Qualifications

• Bachelor's degree in Engineering, Information Technology, or equivalent.
• 10+ years of technology experience including 3+ years in advanced cloud infrastructure design.
• Deep knowledge of multi-cloud environments (Azure, AWS, GCP) and hybrid architecture.

Responsibilities

• Shape technology strategy by defining cloud and infrastructure roadmaps and standards.
• Architect cloud and hybrid solutions across public, private, and on-prem environments.
• Lead cloud migration initiatives with security and enterprise-architecture alignment.
• Ensure governance, security, and compliance in all solutions.
• Evaluate architectures to identify risks and optimization opportunities.
• Drive medium to large-scale infrastructure transformations end to end.
• Enable secure cloud operations including AI workloads and cost controls.
• Document architecture diagrams, runbooks, and communications for diverse audiences.

Skills

Cloud architecture

Multi-cloud

Hybrid cloud

AI workloads

Security governance

IaC

CI/CD

Networking fundamentals

Windows/Linux servers

Automation scripting

Education

Bachelor's degree in Engineering/IT

Cloud certifications (Azure/AWS/GCP)

Tools

Docker

Kubernetes

AKS

EKS

GKE

Terraform

Ansible

Puppet

PowerShell

Chef

Rancher

Job description

LOCATION: Chicago is the preference but open to Houston also

Hybrid 3 days onsite

SELLING POINTS:

• Would be beneficial to have experience in AWS and/or GCP also
• OnPrem experience
• Ideally experience working with AI
• Security knowledge

• Shape Technology Strategy: Define and lead enterprise-wide cloud and infrastructure strategies, roadmaps, and standards that support business growth and innovation.
• Architect Cloud & Hybrid Solutions: Design and guide the implementation of scalable solutions across public, private, and hybrid cloud environments, integrating seamlessly with on-premises systems.
• Drive Cloud Migration: Lead cloud and application migration initiatives, ensuring efficiency, security, and alignment with enterprise architecture principles.
• Ensure Governance & Standards: Oversee architecture review processes and validate that all solutions meet established enterprise, security, and compliance standards.
• Evaluate & Optimize Systems: Assess existing architectures to identify gaps, risks, and opportunities, delivering actionable recommendations for improvements and optimization.
• Lead Complex Initiatives: Take projects from concept through design and implementation, driving medium to large-scale infrastructure and platform transformations.
• Enable Secure Cloud Operations: Champion cloud data security, governance practices, and cost controls, including managing consumption and rate limits for AI-driven workloads.
• Document & Communicate Architecture: Create and maintain architecture diagrams, patterns, runbooks, and documentation while clearly articulating technical concepts to diverse audiences.

What You'll Bring

• Bachelor's degree in Engineering, Information Technology, or equivalent experience; cloud certifications such as Microsoft Certified: Azure Solutions Architect Expert, AWS Certified Solutions Architect, or Google Professional Cloud Architect are strongly preferred.
• Experience: 10+ years of overall technology experience including 3+ years in advanced cloud infrastructure design (legal industry experience is a plus).
• Cloud & Infrastructure Expertise: Deep knowledge of multi-cloud environments (Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)) and hybrid architecture, including migration from on-premises systems.
• Containerization & Platforms: Experience with Docker, Kubernetes, Rancher, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), and Google Kubernetes Engine (GKE).
• AI & Data Platforms: Experience designing infrastructure for AI workloads, troubleshooting complex issues, managing model consumption, and working with Microsoft Fabric for large-scale data processing.
• Automation & DevOps: Strong skills in scripting and Infrastructure as Code (IaC) tools including PowerShell, Chef, Ansible, Puppet, and Terraform; familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices.
• Security & Governance: Expertise in cloud governance, identity and access management including Active Directory, Microsoft Entra ID, and Conditional Access policies.
• Networking & Systems Knowledge: Strong understanding of Local Area Network/Wide Area Network/Software-Defined Wide Area Network (LAN/WAN/SD-WAN), along with Windows and Linux server technologies.