AI Orchestration Engineer(W2 & W2 Only)

Cygnus Professionals Inc.; Atlanta (GA); On-site; USD 140,000 - 180,000; Full time

Job summary

Cygnus Professionals Inc. seeks a senior AI orchestration engineer to design and operate agentic AI systems and LLM pipelines in production. You will drive enterprise integrations across Oracle ecosystems and ServiceNow via REST/SOAP, and build resilient orchestration components.

Applicants should have strong Python (primary) and/or Java/Node.js skills, plus experience with API design, messaging systems, and containerized deployments on major cloud platforms.

Qualifications

• 12+ years of overall experience required.
• 3+ years hands-on AI orchestration.
• Proven enterprise integrations with Oracle/ServiceNow via REST/SOAP.
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, Haystack or equivalent.
• Strong programming in Python (primary) and/or Java/Node.js.
• Experience with API design and messaging systems such as Kafka/RabbitMQ.

Responsibilities

• Design and operate agentic AI systems in production.
• Build integrations with Oracle and ServiceNow via REST/SOAP APIs.
• Develop and maintain AI orchestration pipelines and workflows.
• Ensure production reliability with observability and monitoring.

Skills

AI orchestration

Enterprise integration

LLM orchestration frameworks

Python

API design

Tools

REST APIs

SOAP APIs

Webhooks

Middleware platforms

Job description

Overall 12+ years of Experience Required

• AI orchestration(3+ years of hands-on 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.