Req ID: 375680
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 SummaryLooking 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.
Key Responsibilities- 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.
Core Qualifications & Technical Skills- 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.
Common Expectation from all the roles: 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)
#LI-NorthAmerica
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use [redacted].com and [redacted].nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
