Enterprise Cloud & AI Solutions Architect (Local to TX)

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Enterprise Architecture
Cloud Platforms

Job Details

Job Title: Enterprise Cloud & AI Solutions Architect
Location: Austin, TX (2 Days Remote)
Duration: 6+ Months Contract

Job Description:
We are seeking an experienced Enterprise Cloud & AI Solutions Architect to lead the design and implementation of large-scale, enterprise-level technical solutions. This role is ideal for a strategic thinker who excels in aligning complex infrastructure and AI/ML requirements with business objectives across cloud platforms like AWS, Azure, and Google Cloud.

The ideal candidate will bring deep expertise in enterprise architecture, cloud migration, AI/ML services, and solution design for highly regulated environments.

Responsibilities:
* Translate complex business requirements into scalable, secure cloud-based solutions.
* Develop detailed architecture blueprints for enterprise infrastructure, including AI/ML service integration.
* Drive cloud migration strategies, risk assessments, and financial modeling.
* Design solutions using IaaS, PaaS, and SaaS models across AWS, Azure, and Google Cloud Platform.
* Collaborate with stakeholders to ensure alignment of technology with business goals.
* Advise on generative AI, machine learning, and deep learning implementations.
* Maintain compliance with regulatory frameworks (e.g., HIPAA, GDPR).

Required Skills:
* 10+ years of experience in enterprise application architecture across cloud and on-premises.
* Strong cloud expertise in AWS, Azure, or Google Cloud (Google Cloud Platform).
* 8+ years in cloud-native solution architecture (IaaS, PaaS, SaaS).
* 8+ years in AI/ML/Deep Learning using cloud-based services.
* Proven experience with designing secure, resilient, and scalable cloud infrastructures.

Preferred Skills:
* Strong understanding of networking (VPNs, firewalls, load balancers).
* Cloud security, IAM, and compliance standards knowledge.
* Familiarity with CI/CD, containers (Docker/Kubernetes), and IaC tools (Terraform, CloudFormation).
* Experience in API development, microservices, and serverless architecture.
* Cloud certifications (AWS, Azure, or Google Cloud Platform) highly preferred.

Certifications (Preferred):
* AWS Certified Solutions Architect
* Azure Solutions Architect Expert
* Google Professional Cloud Architect

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Digerati Systems Inc