AI Experience Engineer

NTT DATA North America; Charlotte (NC); On-site; USD 95,000 - 128,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

AD&D insurance

Flexible spending account

Job summary

NTT DATA North America in Charlotte, North Carolina, is shaping production-ready GenAI and Agentic AI experiences for business users and technology teams. You will design, build, and operate LLM-powered applications, RAG workflows, and agent-based AI solutions with governance, observability, and enterprise integration in mind.

The role emphasizes collaboration with Product Owners, UX, and platform engineers, and requires delivering scalable components, APIs, and reusable patterns within a

Qualifications

• 5 to 8 years in software engineering or AI development.
• 5 years of strong hands-on Python development experience.
• 5 years of experience building LLM applications, RAG solutions, API-based applications, workflow automations, or cloud-native applications.
• 5 years of experience with Git, CI/CD, containers, automated testing, and production troubleshooting.
• Understanding of prompt engineering, vector search, agentic workflows, and enterprise integration patterns.

Responsibilities

• Design, build, test, and support LLM-powered applications, RAG workflows, agents, and enterprise AI experiences.
• Utilize Software Development Kit, marketplace components, approved tools, MCPs, model routing, guardrails, and observability capabilities.
• Develop reusable components, workflows, prompts, APIs, connectors, and integration patterns.
• Collaborate with Product Owners, UX, platform engineers, and stakeholders to translate requirements into working AI experiences.
• Implement CI/CD, testing, monitoring, troubleshooting, and production support practices.
• Follow enterprise security, governance, Responsible AI, and production readiness standards.
• Contribute to documentation, demos, knowledge transfer, and reusable delivery patterns.

Skills

Python

LLM frameworks

Prompt engineering

Vector search

Git

CI/CD

Containers

Production support

Tools

LangChain

LangGraph

Google ADK

MCP concepts

Job description

• 5 to 8 years of software engineering or AI application development experience.
• 5 years of strong hands-on Python development experience.
• 5 years of experience building LLM applications, RAG solutions, API-based applications, workflow automations, or cloud-native applications.
• 5 years of experience with Git, CI/CD, containers, automated testing, and production troubleshooting.
• Understanding of prompt engineering, vector search, agentic workflows, and enterprise integration patterns.

Required Qualifications

• 5 to 8 years of software engineering or AI application development experience.
• 5 years of strong hands-on Python development experience.
• 5 years of experience building LLM applications, RAG solutions, API-based applications, workflow automations, or cloud-native applications.
• 5 years of experience with Git, CI/CD, containers, automated testing, and production troubleshooting.
• Understanding of prompt engineering, vector search, agentic workflows, and enterprise integration patterns.

Key Responsibilities

• Design, build, test, and support LLM-powered applications, RAG workflows, agents, and enterprise AI experiences.
• Utilize Software Development Kit, marketplace components, approved tools, MCPs, model routing, guardrails, and observability capabilities.
• Develop reusable components, workflows, prompts, APIs, connectors, and integration patterns.
• Collaborate with Product Owners, UX, platform engineers, and stakeholders to translate requirements into working AI experiences.
• Implement CI/CD, testing, monitoring, troubleshooting, and production support practices.
• Follow enterprise security, governance, Responsible AI, and production readiness standards.
• Contribute to documentation, demos, knowledge transfer, and reusable delivery patterns.

Required Skills / Knowledge

• Python, LLM frameworks, prompt engineering, RAG, Agentic AI, REST APIs, vector search, Git, CI/CD, containers, Kubernetes, and production support.
• Working knowledge of LangChain, LangGraph, Google ADK, MCP concepts, or similar agent development frameworks.
• Understanding of guardrails, observability, evaluation signals, and model routing concepts.

Preferred Qualifications

• Experience with enterprise AI platforms, internal developer platforms, cloud-native development, or regulated enterprise environments.
• Experience with multi-agent architectures, marketplace components, reusable tools, or SDK-based AI development.
• Banking or financial services experience.

Expected Outcomes

• Production-ready Agentic AI applications and reusable components.
• Reliable RAG and agent workflows integrated with enterprise systems.
• Improved adoption of SDK, Marketplace, and platform patterns.

Company Overview

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 professional to join our team in Charlotte, North Carolina (US-NC), United States (US).

This role involves developing and operating AI-enabled portal experiences, agents, workflows, and reusable application components using Agent Marketplace components, approved models, MCPs, and enterprise platform services. The focus is on building production-ready GenAI and Agentic AI experiences for business users and technology teams.

About NTT DATA

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 us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. 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 click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$81/hr. on W2]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits