Enterprise Architect Cloud Local to Texas

Overview

On Site
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Enterprise Architecture
Cloud
Artificial Intelligence
Machine Learning
GCP
Azure
and AWS
IaaS
PaaS
Identity and Access Management (IAM)
SaaS

Job Details

Position: Enterprise Architect Cloud Local to Texas
Location: Austin, TX (Hybrid/Onsite)

This position will be 2 days remote with 3 days (Mondays, Tuesdays and Fridays) required to be onsite.

Duration: 6 - 12 Months Contract

The enterprise architect will be responsible for:

  • Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements.
  • Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practice.
  • Evaluate current infrastructure and identify components for cloud migration, creating a detailed migration strategy including timelines and resource allocation.
  • Implement and validate migration processes to ensure data integrity and system functionality.
  • Ensure compliance of architecture with industry standards and regulatory requirements.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Advise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services.
  • Analyze AI services to extract technical and business insights that inform reference architectures, runbooks, and training content.

Qualifications

  • Experience architecting enterprise application solutions across on-premises and cloud infrastructure
  • Architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.
  • Developing cloud native application architectures across leading cloud platforms.
  • Architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
  • Experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

Preferred

  • Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
  • Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
  • Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
  • Knowledge of API design, development, and management, including RESTful and SOAP APIs.
  • Knowledge of microservices, serverless architectures, and cloud-native application development.
  • Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
  • Experience with cloud-based AI/ML services. Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe or Google Cloud Vertex AI, Agent Builder and other AI/ML services.
  • Cloud Certification e.g. AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

Thanks & Regards
Rocky Thomas | M9 Consulting, Inc
Email:

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