AI First Engineer

AI First Engineer

Our client, an IT Services and Consulting company, is looking for an AI First Engineer for their Plano, TX/Atlanta, GA/Remote location.

Responsibilities include:

• Design, build, and operate AI orchestration pipelines that connect enterprise platforms
• Including Oracle ERP, Service Now (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.
• Implemented in AI Tools prod and being used Implementation experience in Oracle AI Agents studio, Lang Graph, Lang Chain and Lang Smith Good Oracle Functional knowledge.
• Architect and implement multi-agent and single-agent AI orchestration frameworks (e.g., Lang Chain, Lang Graph, Auto Gen, 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, Service Now, 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.
• Develop and maintain integrations between AI orchestration layers and enterprise systems including Oracle E-Business Suite / Oracle Cloud SCM, Service Now 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 Service Now 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.
• 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 Lang Smith, MLflow, Datadog, or Open Telemetry.
• Maintain security and compliance standards for AI systems handling supply chain data (PII, supplier data, inventory data).
• 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.

Requirements include:

• Years of experience required: 12+
• We are seeking a highly skilled AI Orchestration Engineer to join our Supply Chain IT organization.
• 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 Service Now via REST/SOAP APIs, webhooks, or middleware platforms.
• Proficiency with AI/LLM orchestration frameworks such as Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, 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).
• 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 Dev Ops:
  Git, Git Hub Actions, Azure Dev Ops, Jenkins, or equivalent.
• Data integration:
  Familiarity with ETL/ELT patterns, data pipelines, and supply chain data models (PO, ASN,…