AI Architect
Sireesha puppalaUnited StatesMIDPosted 5d ago
Solution ArchitectEnterprise ArchitectGenAI ArchitectEnterprise AI PlatformsAgentic AI ecosystemsEnterprise AI ArchitectureGovernancePlatform EngineeringEnterprise AI Design PrinciplesReference ArchitecturesCloud Infrastructure FoundationData IngestionData LifecycleData GovernanceData CatalogOntologyDomain Context ModelsModel RegistryModel Lifecycle ManagementLLM GovernanceSecurityComplianceAgent OrchestrationIdentityLifecycle ManagementAgent GovernanceGuardrailsResponsible AIDevelopment FrameworksTemplatesAcceleratorsObservabilityReliabilityFinOpsMulti-Region DeploymentDisaster Recovery
About the Role
We are seeking an AI Architect to join our team for a 6-month contract in Berlin, CT. This role requires extensive experience in designing and implementing enterprise AI platforms and agentic AI ecosystems.
Key Responsibilities
• Design and implement enterprise AI platforms and agentic AI ecosystems at scale
• Develop and maintain enterprise AI architecture, governance, and platform engineering
• Ensure compliance with AI design principles and reference architectures
• Oversee AI platform architecture including cloud infrastructure, data ingestion, lifecycle, and governance
• Manage data catalog, ontology, domain context models, and model registry
• Implement LLM governance, security, and compliance measures
• Orchestrate agent lifecycle management and governance
• Develop frameworks, templates, and accelerators for AI development
• Ensure observability, reliability, and FinOps in AI systems
• Handle multi-region deployment and disaster recovery
Requirements
• 10+ years as Solution Architect, Enterprise Architect, or GenAI Architect
• Experience building Enterprise AI Platforms and Agentic AI ecosystems at scale
• Strong expertise in Enterprise AI Architecture, Governance, and Platform Engineering
• Knowledge of Enterprise AI Design Principles & Reference Architectures
• Experience with AI Platform Architecture covering cloud infrastructure, data ingestion, lifecycle, governance, data catalog, ontology, domain context models, model registry, LLM governance, security, compliance, agent orchestration, identity, lifecycle management, agent governance, guardrails, responsible AI, development frameworks, templates, accelerators, observability, reliability, FinOps, multi-region deployment, and disaster recovery