Agentic AI Platform Architect
irfan khanUnited StatesSENIORPosted 7d ago
LangChainLang GraphSemantic KernelPrompt engineeringRetrieval-Augmented GenerationLLM integrationPythonJavaGoTypescriptREST APIgRPCDistributed systemsEvent-driven architectureAWSAzureGoogle Cloud PlatformKubernetesVector databasesPineconeMonitoringAI system security
About the Role
We are seeking a highly experienced Agentic AI Platform Architect to lead the design and architecture of an enterprise-scale Agentic AI platform for the airline industry. The ideal candidate will have hands-on experience building and deploying production-grade AI and LLM-powered systems.
Key Responsibilities
• Define and drive the technical architecture of an enterprise Agentic AI platform
• Design scalable, reliable, production-ready LLM-powered applications
• Lead architecture reviews and evaluate AI frameworks and technologies
• Establish best practices for multi-agent orchestration, RAG, and tool integration
• Guide engineering teams in implementing secure, observable, and resilient AI systems
Requirements
• 10+ years of software engineering and architecture experience
• 3+ years designing AI/ML platform systems
• TOGAF or similar architecture certification
• Experience with LangChain, Lang Graph, Semantic Kernel, or similar frameworks
• Expertise in agentic AI systems and multi-agent architectures
• Knowledge of prompt engineering, tool calling, and agent orchestration
• Experience with Retrieval-Augmented Generation pipelines
• Strong programming skills in Python, Java, Go, or Typescript
• Experience with REST and/or gRPC APIs
• Distributed systems and event-driven architecture knowledge
• Cloud platform experience (AWS, Azure, or Google Cloud)
• Kubernetes and container orchestration experience
• Vector databases experience (Pinecone, Deviate)
• Monitoring, serviceability, testing, and AI system security knowledge