AI Architect

TechDigital Group; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

TechDigital Group is seeking a highly skilled AI Orchestration Engineer to design, build, and operate AI agent pipelines that connect Oracle ERP, ServiceNow, and a broad ecosystem of supply chain applications into intelligent, automated workflows.

You will bridge AI/ML capabilities with enterprise integration, ensure orchestrated agents deliver business value across procurement, logistics, inventory, and fulfillment, and mentor junior engineers while promoting best practices in security and

Qualifications

• Experience designing and operating agentic AI systems in production.
• Proven enterprise integration with ERP/ITSM platforms.
• Strong Python programming and API design skills.

Responsibilities

• Design, build, and operate AI orchestration pipelines for supply chain workflows.
• Architect multi-agent and single-agent frameworks to automate IT processes.
• Develop integration between AI layers and Oracle/ServiceNow and cloud platforms.
• Ensure data integrity, observability, and security across pipelines.

Skills

Python

LLM orchestration

API design

CI/CD

Distributed systems

Tools

LangChain

LangGraph

AutoGen

Docker

Kubernetes

OpenTelemetry

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