Cloud Architect

Title- AI with Multi-Cloud Architecture Lead Location- Juno Beach, FL (Onsite)Full-Time Role Role Summary Core Role Identity Dimension ExpectationArchitecture Defines standards, patterns, governanceDelivery Builds POCs, pipelines, and AI integrationsModel Shared service / enterprise enablementAuthority Influences + demonstrates (not just advises)Cloud Multi-cloud, cloud-agnostic mindsetKey Responsibilities1. Multi-Cloud Architecture & Governance• Define and implement cloud-agnostic architecture patterns across AWS and GCP• Standardize GCP governance aligned to AWS controls• Establish reusable reference architectures for data, AI, and infrastructure• Promote abstraction via:o Containers (Kubernetes)o APIso Infrastructure as Code (Terraform)2. Hands-On Enablement (POCs & Pipeline Delivery) • Build proof-of-concept solutions to validate architecture patterns• Develop and optimize data pipelines and integrations across systems (ServiceNow, Apptio, Jira)• Implement AI-enabled workflows (model integration, automation)• Provide hands-on support to delivery teams to accelerate adoption• Translate architecture into working, scalable solutions3. AI Integration & MLOps Enablement• Design and implement AI-ready pipelines (structured + unstructured data) Support:o Model integration into enterprise workflowso MLOps lifecycle enablement (CI/CD, monitoring, governance)o AI tool/vendor evaluation4. Data Architecture & Integration (CMDB/APM-Aligned)• Architect data flows integrating:o ServiceNow (CMDB/APM)o Apptio (cost transparency)o Jira (delivery data)5. Governance & FinOps (Advisory + Enablement)• Define standards for:o Cloud cost optimization (FinOps)o AI governance and lifecycle managemento Data quality and pipeline SLAs6. Platform Strategy & Shared Services Leadership• Act as a central architecture leader and enabler• Support teams through:o Architecture reviewsRequired Experience• 7+ years in cloud architecture, data engineering, or infrastructure• Proven experience in multi-cloud environments (AWS + GCP)• Demonstrated ability to:o Design architecture and deliver working solutionso Build data pipelines and integrations• Strong experience with:o Python, SQLo ETL/ELT pipelineso Infrastructure as Code (Terraform preferred)o Containers (Kubernetes)AI & Modern Architecture Requirements• Hands-on experience with:o AI/ML integration into enterprise pipelineso MLOps or AI lifecycle tooling• Experience evaluating and implementing:o AI platformso Automation tooling