AI Orchestration Engineer(W2 & W2 Only)

Job Description

Overall 12+ years of Experience Required

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• AI orchestration(3+ years of hands-on experience) — designing and operating agentic AI systems, LLM pipelines, or intelligent automation workflows in production environments.

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• Proven enterprise integration experience — building integrations with Oracle (EBS, Oracle Cloud, Fusion SCM) and/or ServiceNow via REST/SOAP APIs, webhooks, or middleware platforms.

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• Proficiency with AI/LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, Haystack, or equivalent.

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• Strong programming skills in Python (primary) and/or Java/Node.js for building integration and orchestration components.

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• Experience with API design and consumption (REST, GraphQL, OpenAPI/Swagger) and message queuing systems (Kafka, RabbitMQ, Azure Service Bus, or similar).

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Technical Skills

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• Cloud platforms: AWS, Azure, or GCP — platform agnostic, comfortable deploying on any major provider.

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• Containerization and orchestration: Docker, Kubernetes (EKS/AKS/GKE), Helm.

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• CI/CD and DevOps: Git, GitHub Actions, Azure DevOps, Jenkins, or equivalent.

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• Data integration: Familiarity with ETL/ELT patterns, data pipelines, and supply chain data models (PO, ASN, inventory, demand signals).

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• Monitoring and observability: Experience instrumenting AI workloads for production reliability.

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