Enterprise Architect – AI & Cloud Engineering
Dogana SrawanUnited StatesSENIORPosted 1h ago
Enterprise ArchitectureSolution ArchitectureGenerative AIRAGMicroservicesDistributed SystemsReactCloud ArchitectureGCPAWSAzureAI EvaluationObservabilityGroundednessHallucination MonitoringCI/CDDevSecOpsSecurity-First ArchitectureQuality GatesEngineering GovernanceDesign ReviewsTechnical LeadershipTechnical Debt ManagementEstimationRisk MitigationStakeholder ManagementExecutive-Level CommunicationVector DatabasesEmbedding PipelinesLLM ObservabilityResponsible AIEvent-Driven ArchitectureAPI GatewaysService MeshSREInfrastructure as Code (IaC)Telecom
About the Role
We are looking for a seasoned Enterprise Architect – AI & Cloud Engineering to drive technical strategy, architecture, and engineering excellence across a multi-project digital portfolio. The ideal candidate will bring strong enterprise architecture expertise, cloud-native engineering experience, and hands-on Generative AI implementation experience.
Key Responsibilities
• Enterprise & Solution Architecture across multiple projects
• Hands-on GenAI / RAG solution architecture and implementation
• HLDs, LLDs, Architecture Diagrams & Technical Documentation
• Microservices, Distributed Systems & React
• Cloud Architecture – GCP (Preferred), AWS or Azure
• AI Evaluation, Observability, Groundedness & Hallucination Monitoring
• CI/CD, DevSecOps, Security-First Architecture & Quality Gates
• Engineering Governance, Design Reviews & Technical Leadership
• Technical Debt Management, Estimation & Risk Mitigation
• Stakeholder Management & Executive-Level Communication
Requirements
• 15+ years of overall IT experience
• Strong enterprise/solution architecture and engineering leadership experience
• Proven track record of delivering production-ready AI/GenAI solutions using RAG
• Ability to lead technical discussions and communicate architectural decisions to senior leadership
• Mandatory Requirement: Must have successfully implemented at least one end-to-end Retrieval-Augmented Generation (RAG) solution in a production or production-like environment