AI Orchestration & Enterprise Integration Architect
Agentic Super Intelligence Labs
Karachi , Pakistan
Posted May 24, 2026 83 views
Agentic Super Intelligence Labs seeks a seasoned AI Orchestration & Enterprise Integration Architect to design, build, and operate production-grade AI systems that seamlessly integrate enterprise platforms into intelligent, automated workflows. The successful candidate will architect workflows across procurement, logistics, inventory, and fulfillment systems to enable streamlined, AI-driven operations. This role demands expertise in designing AI orchestration pipelines, integrating multi-agent and single-agent systems, and connecting AI technologies with enterprise resource planning and service management platforms. Experience with cloud deployments, API-driven integrations, and advanced AI governance frameworks is essential. While this position does not involve team management, it offers significant technical responsibility in shaping enterprise AI architectures at scale.
The architect will employ cutting-edge frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel to create robust AI agent systems. The individual must be skilled in crafting agentic workflows incorporating tool utilization, memory management, and reasoning loops, and should demonstrate extensive experience with multiple integration protocols including REST, SOAP, GraphQL, gRPC, Kafka, and RabbitMQ. Familiarity with major cloud platforms such as AWS, Azure, or GCP and container orchestration technologies like Docker, Kubernetes, and Helm is required to deploy scalable AI solutions. The role also involves establishing observability through tools like LangSmith, MLflow, Datadog, or OpenTelemetry and ensuring stringent security and governance concerning sensitive data.
Responsibilities
- Design and implement end-to-end AI orchestration pipelines that integrate multiple enterprise systems to enable intelligent automation across procurement, logistics, inventory, and fulfillment domains.
- Architect and build multi-agent and single-agent AI systems using established frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel to facilitate efficient, scalable workflows.
- Develop agentic workflows that leverage tools, memory management techniques, reasoning loops, and Retrieval-Augmented Generation (RAG)-based knowledge grounding for improved AI performance.
- Integrate AI architectures with enterprise platforms including Oracle E-Business Suite (EBS), Oracle Cloud Supply Chain Management (SCM), ServiceNow IT Service Management (ITSM) and IT Operations Management (ITOM), Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Manufacturing Execution Systems (MES).
- Design and build API-driven and event-driven integrations utilizing REST, SOAP, GraphQL, gRPC, Kafka, and RabbitMQ to ensure real-time data exchange and system interoperability.
- Deploy AI orchestration systems on cloud infrastructures (AWS, Azure, or GCP) using containerization and orchestration technologies such as Docker, Kubernetes (EKS, AKS, GKE), and Helm charts for scalability and reliability.
- Implement monitoring and observability solutions using LangSmith, MLflow, Datadog, or OpenTelemetry to track system performance, detect anomalies, and optimize AI operations.
- Define and enforce security protocols and AI governance standards focused on protecting personally identifiable information (PII), supplier information, and inventory data.
- Collaborate with cross-functional teams to ensure enterprise integration architectures align with business requirements and compliance frameworks.
- Stay current with emerging AI orchestration technologies, enterprise integration trends, and cloud deployment practices to continuously enhance system capabilities.
- Document architectural designs, integration patterns, and operational procedures to support sustainable system maintenance and knowledge sharing.
Skills
Agentic Super Intelligence Labs
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