AI Architect

Job Description

Job Description

We are seeking a highly skilled AI Orchestration Engineer to join our Supply Chain IT organization. In this role, you will design, build, and operate AI orchestration pipelines that connect enterprise platforms — including Oracle ERP, ServiceNow (SNOW), and a broad ecosystem of supply chain applications — into intelligent, automated workflows. You will be the technical bridge between AI/ML capabilities and enterprise integration, ensuring orchestrated agents and models deliver real business value across procurement, logistics, inventory, and fulfillment domains.

Key Responsibilities
• AI Orchestration & Pipeline Engineering • Architect and implement multi-agent and single-agent AI orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or custom) to automate Supply Chain IT workflows end-to-end. • Design agentic pipelines with tool-use, memory, and reasoning loops that interface with Oracle SCM/ERP, ServiceNow, and third-party supply chain platforms. • Build and maintain prompt engineering strategies, chain-of-thought patterns, and retrieval-augmented generation (RAG) pipelines tuned for supply chain data and documents. • Evaluate and select orchestration tooling and LLM providers (OpenAI, Anthropic, Azure OpenAI, Google Vertex AI, open-source) based on use case fit, performance, and cost. Enterprise Integration • Develop and maintain integrations between AI orchestration layers and enterprise systems including Oracle E-Business Suite / Oracle Cloud SCM, ServiceNow ITSM/ITOM, and WMS/TMS/MES platforms. • Design and implement API gateways, event-driven connectors, and middleware (REST, SOAP, GraphQL, gRPC, Kafka, MQ) to feed real-time data into orchestration workflows. • Collaborate with Oracle and ServiceNow platform teams to expose relevant APIs, webhooks, and data streams consumed by AI agents. • Ensure data consistency, idempotency, and error handling across heterogeneous system integrations. Platform & Infrastructure • Deploy orchestration workloads on cloud-agnostic infrastructure (AWS, Azure, or GCP) using containerized services (Docker, Kubernetes) and serverless compute where appropriate. • Implement observability, logging, tracing, and alerting for AI pipelines using tools such as LangSmith, MLflow, Datadog, or OpenTelemetry. • Maintain security and compliance standards for AI systems handling supply chain data (PII, supplier data, inventory data). Collaboration & Stakeholder Engagement • Partner with Supply Chain business analysts, process owners, and IT architects to identify, prioritize, and scope AI automation opportunities. • Translate business requirements into technical orchestration designs; document architectures, data flows, and integration specs. • Mentor junior engineers and contribute to an internal center of excellence (CoE) for AI and automation within IT.

Required Qualifications
Must-Have Experience
• 3 years of hands-on AI orchestration experience — designing and operating agentic AI systems, LLM pipelines, or intelligent automation workflows in production environments. • Proven enterprise integration experience — building integrations with Oracle (EBS, Oracle Cloud, Fusion SCM) and/or ServiceNow via REST/SOAP APIs, webhooks, or middleware platforms. • Proficiency with AI/LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, Haystack, or equivalent.
• Strong programming skills in Python (primary) and/or Java/Node.js for building integration and orchestration components. • Experience with API design and consumption (REST, GraphQL, OpenAPI/Swagger) and message queuing systems (Kafka, RabbitMQ, Azure Service Bus, or similar). Technical Skills • Cloud platforms: AWS, Azure, or GCP — platform agnostic, comfortable deploying on any major provider. • Containerization and orchestration: Docker, Kubernetes (EKS/AKS/GKE), Helm. • CI/CD and DevOps: Git, GitHub Actions, Azure DevOps, Jenkins, or equivalent. • Data integration: Familiarity with ETL/ELT patterns, data pipelines, and supply chain data models (PO, ASN, inventory, demand signals). • Monitoring and observability: Experience instrumenting AI workloads for production reliability. Preferred Qualifications • Experience in Supply Chain IT, manufacturing, logistics, or distribution industry verticals. • Familiarity with Oracle Integration Cloud (OIC), Oracle API Gateway, or MuleSoft / Dell Boomi / Informatica for enterprise iPaaS. • Hands-on experience with ServiceNow Flow Designer, IntegrationHub, or Virtual Agent for AI-enhanced ITSM workflows. • Knowledge of supply chain domain concepts: demand planning, inventory optimization, order management, 3PL/carrier integration, supplier portals. • Experience with vector databases (Pinecone, Weaviate, pgvector) and RAG architectures for enterprise document intelligence. • Exposure to AI governance, responsible AI practices, and enterprise LLM security (prompt injection, data leakage prevention). • Relevant certifications: AWS Solutions Architect, Azure AI Engineer, Google Professional ML Engineer, or Oracle Cloud Infrastructure