Business Consulting Snr. Consultant

NTT DATA Services•Remote, TX

14d•$87,000 - $150,000•Remote

About The Position

NTT DATA is seeking an experienced AI Trainer to design, develop, and deliver a comprehensive AI learning program for both software developers and end users. This role combines expertise in instructional design, technical training delivery, and modern software development practices to help accelerate AI adoption across the enterprise. The ideal candidate brings hands-on experience with the Software Development Lifecycle (SDLC), AI-assisted development tools, and enterprise training programs. This individual will partner with leading AI technology providers, including Microsoft, GitHub, OpenAI, Anthropic, and others, to develop practical, role-based curriculum that enables developers and business users to effectively leverage AI technologies within NTT DATA's environment.

Requirements

Bachelor's degree in Computer Science, Information Technology, Learning & Development, Instructional Design, or related field.
7+ years of experience in technical training, developer enablement, learning program management, or technology consulting.
5+ years of experience working within software development environments and SDLC processes.
Demonstrated experience developing and delivering technical training for software engineers and technology professionals.
Experience with AI and Generative AI technologies, including practical use cases and enterprise adoption.
Strong understanding of Agile, DevOps, CI/CD, software engineering best practices, and application lifecycle management.
Proven curriculum design and instructional development experience.
Exceptional facilitation, presentation, communication, and stakeholder management skills.
Ability to simplify complex technical concepts into practical learning experiences.

Nice To Haves

Hands-on experience with: GitHub Copilot, Microsoft AI and Azure AI services, OpenAI platforms and APIs, Anthropic Claude, AI agents and agentic workflows, Prompt engineering methodologies, Responsible AI frameworks and governance
Experience supporting enterprise AI transformation initiatives.
Software development background in one or more programming languages.
Experience developing hands-on labs, technical workshops, and certification-based learning programs.
Relevant certifications in Microsoft Azure, AI, GitHub, instructional design, or learning technologies.

Responsibilities

Design and maintain a comprehensive AI learning curriculum for developers, technical teams, and business users.
Develop instructor-led training, workshops, labs, playbooks, learning guides, and hands-on exercises.
Create role-based learning pathways ranging from AI literacy through advanced AI engineering and AI-assisted software development.
Continuously update training content to reflect evolving AI platforms, tools, and industry best practices.
Deliver engaging instructor-led training sessions, workshops, office hours, webinars, and hands-on labs.
Train software engineers on AI-powered development tools, including code generation, agentic workflows, testing automation, and developer productivity solutions.
Facilitate practical exercises that demonstrate real-world application of AI within enterprise software development environments.
Adapt delivery approaches for technical and non-technical audiences.
Build training programs focused on modern software development practices and AI-enabled SDLC processes.
Educate development teams on tools and platforms from Microsoft, GitHub, OpenAI, Anthropic, and other AI providers.
Create learning experiences focused on responsible AI, prompt engineering, AI-assisted coding, AI agents, and software engineering productivity.
Enable developers to integrate AI capabilities into business applications while maintaining security, quality, and governance standards.
Partner with technology leaders, architecture teams, development managers, and AI program leaders to identify capability gaps and training needs.
Collaborate with internal subject matter experts and external technology partners to ensure training remains technically accurate and relevant.
Align curriculum and training experiences with NTT DATA's technology standards, business priorities, and AI strategy.
Measure learner engagement, adoption, and proficiency improvements.
Gather feedback and performance metrics to continuously improve learning effectiveness.
Track emerging AI technologies and recommend updates to training programs and learning pathways.