Req ID: 375679
We are currently seeking a AI Engr (Commercial & MTO) to join our team in Dallas, Texas (US-TX), United States (US).
Job Title: AI Engineer (Commercial & MTO)Experience level: 10 + years
Job SummaryAI Engineer (Commercial & MTO) responsible to build production-ready artificial intelligence and machine learning solutions to drive business growth. This role bridges software engineering, data science, and commercial strategy, typically managing the deployment of models into operational pipelines for revenue generation, market analysis, and supply chain logistics.
Core Responsibilities- Commercial AI Strategy: Collaborate with business leaders and product managers to map organizational challenges to high-impact AI/ML use cases.
- Model Deployment & API Integration: Transform trained machine learning models into robust, scalable, production-ready APIs that integrate seamlessly with enterprise systems.
- Workflow Automation (MTO): Build multi-agent AI systems, workflows, and Retrieval-Augmented Generation (RAG) architectures to optimize Make-To-Order (MTO) production pipelines and e-commerce supply chains.
- Data Pipelines & Ingestion: Develop and manage infrastructure to collect, clean, and transform unstructured data for AI model consumption.
- Performance Monitoring: Maintain and continuously optimize deployed models for accuracy, reliability, and cost-efficiency in live production environments.
Key Requirements- Technical Proficiencies: 7+ years of advanced coding skills in Python, SQL, and Java/Scala. Proficiency in ML frameworks like PyTorch or TensorFlow, and frameworks for building workflows like LangChain.
- Cloud & MLOps: 5+ years of experience deploying models using cloud platforms such as AWS, Azure, or Google Cloud (GCP), along with CI/CD pipelines.
- Business Acumen: 5+ years of ability to explain complex AI outputs to C-suite executives and non-technical stakeholders to influence commercial decision-making.
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.
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)
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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.
