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Enterprise Architect, Cloud-AI Solutions

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MMC Group LP

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Location:
United States , Austin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a highly experienced Enterprise Architect III to design and lead large-scale, enterprise-wide architecture solutions spanning on-premises and multi-cloud environments. This role requires deep expertise in cloud strategy, AI and machine learning architecture, financial modeling for complex technical solutions, and executive-level stakeholder advisory. The selected architect will operate as a trusted technical authority, translating business objectives into secure, scalable, financially aligned technology solutions.

Job Responsibility:

  • Design and maintain enterprise architecture aligned with strategic business goals
  • Develop scalable, secure, and resilient multi-cloud infrastructure frameworks
  • Evaluate legacy environments and create comprehensive cloud migration strategies, including: Timeline development
  • Resource planning
  • Financial modeling
  • Risk assessment
  • Architect solutions across IaaS, PaaS, and SaaS service models
  • Lead enterprise AI, machine learning, deep learning, and generative AI architecture initiatives
  • Map AI and analytics workloads to Azure, AWS, and Google Cloud services
  • Analyze AI platforms to produce reference architectures, operational runbooks, and training documentation
  • Construct Statements of Work detailing: Technical scope
  • Process workflows
  • Staffing models
  • Governance controls
  • Develop and document risk mitigation plans for complex service proposals
  • Ensure compliance with regulatory and security standards including GDPR, HIPAA, and enterprise governance frameworks
  • Serve as a Subject Matter Expert and trusted advisor for internal and external stakeholders
  • Present enterprise cloud and AI strategies to executive audiences

Requirements:

  • 10+ years architecting enterprise application solutions across on-premises and cloud infrastructure
  • 10+ years designing solutions in one or more major cloud platforms: Amazon Web Services, Microsoft Azure, Google Cloud Platform
  • 8+ years designing cloud-native application architectures
  • 8+ years implementing IaaS, PaaS, and SaaS service models
  • 8+ years leading AI, machine learning, and deep learning solution architecture using Azure, AWS, or Google technologies

Nice to have:

  • Strong expertise in: Virtual networks
  • VPN architectures
  • DNS
  • Load balancing
  • Firewall configuration
  • Deep understanding of: Cloud security frameworks
  • Encryption standards
  • Identity and Access Management
  • Regulatory compliance frameworks such as GDPR and HIPAA
  • Experience with: CI/CD pipelines
  • Containerization including Docker and Kubernetes
  • Infrastructure as Code tools such as Terraform or CloudFormation
  • API architecture expertise including RESTful and SOAP services
  • Experience designing microservices and serverless architectures
  • Hands-on knowledge of cloud AI/ML services such as: Azure Machine Learning
  • Azure Cognitive Services
  • AWS SageMaker
  • AWS Redshift
  • EC2
  • Kinesis
  • EMR
  • Google Cloud Vertex AI
  • Agent Builder
  • Cloud certification such as: AWS Certified Solutions Architect
  • Azure Solutions Architect Expert
  • Google Professional Cloud Architect
What we offer:
  • Medical, dental, and vision coverage
  • Life and disability insurance
  • Additional voluntary benefits

Additional Information:

Job Posted:
March 01, 2026

Work Type:
Remote work
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