AI & Multi-Cloud Architecture Lead (Hands-On)
Location :- Juno Beach, Florida
Required Experience & Qualifications
7+ years of experience in cloud architecture, data engineering, infrastructure engineering, platform engineering, or a related technical discipline.
Proven hands-on experience designing and implementing solutions across AWS and Google Cloud Platform.
Strong understanding of multi-cloud and cloud-agnostic architecture principles.
Demonstrated ability to both:
Define enterprise architecture and governance
Build and deliver working technical solutions
Strong hands-on programming and data engineering experience with:
Python
SQL
ETL/ELT pipelines
Data integration
Strong Infrastructure as Code experience, preferably Terraform.
Hands-on experience with Kubernetes and containerized architectures.
Experience designing API-based and event-driven integrations.
Experience working with enterprise platforms such as ServiceNow, Apptio, Jira, or comparable systems.
AI & Modern Architecture Requirements
Hands-on experience integrating AI/ML capabilities into enterprise data pipelines and applications.
Experience with MLOps, AI lifecycle management, or production AI enablement.
Understanding of model deployment, monitoring, governance, and CI/CD.
Experience evaluating and implementing:
AI/ML platforms
Generative AI capabilities
Automation/orchestration tooling
AI-enabled enterprise workflows
Ability to evaluate emerging technologies and translate them into practical enterprise architecture patterns.
