AI​/LLM Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a Software Development Senior Specialist to join our team in Charlotte, North Carolina (US-NC), United States (US).

• 5+ years of software engineering experience or equivalent practical experlence.
• 2+ years of hands-on experience developing and deploying Al/ML or Generative Al solutions.
• 5+ years of experience working with Large Language Models (LLMs) and Generative Al frameworks.
• 5+ years Python development skills and experience building production-quality applications.
• Experience consuming Client and integrating applications with enterprise systems.
• Familiarity with cloud-native development practices and modern software engineering methodologies.
• Strong problem-solving, debugging, and troubleshooting skills.
• Ability to work effectively in a fast-paced, collaborative engineering environment.

• Experience with Retrieval-Augmented Generation (RAG) patterns.
• Experience with prompt engineering and LLM orchestration frameworks.
• Experience building Al agents, copilots, or workflow automation solutions.
• Familiarity with vector databases, knowledge retrieval systems, and enterprise search capabilities.
• Experience with enterprise platforms such as Service Now, Salesforce, data platforms, or similar systems.
• Understanding of responsible Al, security, privacy, and compliance considerations.

• Develop, test, and maintain Al-enabled applications, workflows, and services.
• Build and enhance Al agents, copilots, and automation solutions using approved enterprise Al platforms and fran
• Integrate Al capabilities with enterprise applications and data sources through APls and service integrations.
• Collaborate with product owners, business stakeholders, and engineering teams to implement business requirements.
• Support proof-of-concept, pilot, and production Al initiatives.
• Participate in model evaluation, prompt optimization, and solution testing activities,
• Troubleshoot and resolve issues related to Al applications and integrations.
• Contribute to reusable components, templates, and engineering best practices.
• Support production deployments and ongoing operational activities.
• Document technical designs, implementation details, and operational procedures.

• Python
• REST APIs
• Generative Al and LLM frameworks
• Prompt Engineering
• RAG (Retrieval-Augmented Generation)
• Agentic Al Frameworks
• Git / CI-CD
• Container Technologies (Docker/Kubernetes preferred)
• Cloud Platforms (Azure preferred)
• Vector Databases and Enterprise Search Technologies

• Ability to rapidly develop and iterate on Al solutions.
• Strong engineering and coding skills.
• Ability to work independently while collaborating across teams.
• Clear communication and documentation skills.
• Focus on delivering practical business value through Al-enabled solutions.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.

We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at

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Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please . If you’d like more information on your EEO rights under the law, please . For Pay Transparency information, please .