Ai Engineer (Corp Functions & Supply Chain) Job at NTT DATA (Dallas)

Job Description

We are currently seeking a AI Engineer (Corp Functions & Supply Chain) to join our team in Dallas, Texas (US-TX), United States (US). Job Title: AI Engineer (Corp Functions & Supply Chain). Experience level: 10 + years. Job Summary: Looking for AI Engineer experience in Corporate Functions and Supply Chain designs, builds and deploys intelligent systems to automate logistics, procurement, inventory management, and business workflows. They bridge data science and software engineering to productionize machine learning models, implement Agentic AI, and integrate LLMs into core enterprise operations.

Job Responsibility

AI Model Development & Deployment: Build and productionize machine learning algorithms for demand forecasting, inventory optimization, and logistics routing
Corporate & Procurement Optimization: Design GenAI assistants and agents to automate supplier evaluation, negotiation, contract review, and vendor management
Workflow Automation: Deploy Agentic AI to enable autonomous decision-making—such as auto-rerouting shipments during a supply disruption or updating your Enterprise Resource Planning (ERP) without human intervention
System Integration & Architecture: Create RAG pipelines and integrate AI models into existing enterprise systems (like Oracle Cloud, SAP, or AWS/Azure) so that AI recommendations flow directly into business execution
Monitoring & Guardrails: Establish continuous performance metrics and guardrails to ensure AI models remain accurate, cost-effective, and aligned with enterprise safety standards

Requirements

Education: Bachelor's or Master's degree in Computer Science, Data Science, Operations Research, or a related technical field
Programming & Tech Stack: 7+ years of high proficiency in languages like Python or Java. Experience with frameworks and libraries such as TensorFlow, PyTorch, LangChain, and LlamaIndex
Enterprise Platforms: 5+ years of familiarity with modern data and ML platforms (e.g., Databricks, Oracle Cloud SCM, AWS, or Azure)
Supply Chain Domain: 3 to 5 years of understanding of Procure-to-Pay, Order-to-Cash, and warehouse/inventory logistics
Compliance with Client's responsible AI principles and Acceptable Use policy
Adherence to data residency, privacy (GDPR, HIPAA where applicable), and 21 CFR Part 11 controls where in scope
Third-party risk assessment and SOC 2 Type II (or equivalent) certification
Disclosure of subcontractors and offshore delivery locations
Disclosure of model providers, training data practices, and any use of client data for model improvement (opt-out required)

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