Senior AI & LLM Engineer for Enterprise GenAI

Creative Solutions Services, LLC; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

NTT DATA in Charlotte, North Carolina seeks a Software Development Senior Specialist to join our team. This role focuses on building AI-enabled applications, coordinating with product and engineering to deliver scalable solutions in a fast-paced environment.

The ideal candidate has extensive Python development experience, hands-on AI/ML work, and deep knowledge of enterprise integrations, cloud-native practices, and modern software engineering methodologies.

Qualifications

• 5+ years of software engineering experience.
• 2+ years of hands-on AI/ML or Generative AI solution development.
• 5+ years of experience with LLMs and Generative AI frameworks.
• 5+ years Python development building production-grade applications.
• Experience integrating enterprise systems via APIs.

Responsibilities

• Develop, test, and maintain AI-enabled applications and workflows.
• Build AI agents and automation solutions with approved enterprise platforms.
• Integrate AI capabilities with enterprise apps and data sources via APIs.
• Collaborate with product owners and engineering teams to fulfill business requirements.
• Support PoC, pilot, and production AI initiatives.
• Document designs, implementation details, and operating procedures.
• Contribute to reusable components and engineering best practices.

Skills

Software engineering

AI/ML development

LLMs & Generative AI

Python

Enterprise integration

Cloud-native development

Problem solving

Team collaboration

Tools

Docker

Kubernetes

Azure

REST APIs

CI/CD

Git

Job description

NTT DATA in Charlotte, North Carolina seeks a Software Development Senior Specialist to join our team. This role focuses on building AI-enabled applications, coordinating with product and engineering to deliver scalable solutions in a fast-paced environment.

The ideal candidate has extensive Python development experience, hands-on AI/ML work, and deep knowledge of enterprise integrations, cloud-native practices, and modern software engineering methodologies.