Location: 100% onsite in Houston, TX.

Contract Length: 6 months, with potential for extension.

Contract Rate: Rate for this position is expected to fall within a competitive market range. Final rate will be determined based on relevant experience and overall fit for the position.

NTT DATA is seeking a hands-on AI & Automation Consultant to support digital transformation and productivity initiatives for a large enterprise in the energy sector. This role will work closely with business stakeholders to identify practical opportunities for AI and automation and rapidly translate those opportunities into working solutions, prototypes, and business use cases.

The ideal candidate brings 1-3 years of relevant professional experience with hands-on expertise in Microsoft Copilot Studio and Codex, combined with strong communication, problem-solving, and stakeholder-facing skills. The consultant will use AI-assisted development, automation, and rapid prototyping approaches to address operational needs and improve business productivity.

This is not a research-focused AI role. It is a hands-on, delivery-oriented position for someone who enjoys working close to the business, experimenting quickly, building practical solutions, and iterating based on stakeholder feedback.

Responsibilities

Partner directly with business stakeholders to understand operational challenges, productivity needs, and opportunities for AI-enabled process improvement.
Identify and prioritize practical AI and automation use cases and translate business requirements into clear solution concepts and working prototypes.
Design and build agents, copilots, and AI-enabled business solutions using Microsoft Copilot Studio.
Use Codex as part of application development, rapid prototyping, automation, troubleshooting, and iterative solution delivery.
Rapidly build proofs of concept and minimum viable solutions, demonstrate them to business users, gather feedback, and refine them through short delivery cycles.
Use Microsoft Power Platform capabilities such as Power Apps and Power Automate when appropriate to support workflow automation and business solution delivery.
Integrate AI and automation solutions with enterprise applications, APIs, data sources, connectors, and existing workflows.
Collaborate with technical teams and business owners to validate requirements, test solutions, resolve issues, and support user adoption.
Support successful prototypes as they evolve toward reliable, production-ready solutions, including testing, documentation, and knowledge transfer.
Use AI-assisted development tools responsibly to improve solution quality, speed, and developer productivity.

Required Experience

1-3 years of relevant professional experience in AI, automation, low-code development, application development, or related technology solutions.
Hands-on professional experience with Microsoft Copilot Studio, including building or configuring agents, copilots, or AI-enabled business solutions.
Hands-on experience with Codex for application development, rapid prototyping, automation, or AI-assisted solution development.
Demonstrated ability to work directly with business stakeholders, understand operational needs, identify practical use cases, and translate requirements into working technology solutions.
Experience building prototypes, proofs of concept, or rapid solutions in response to business requirements.
Practical understanding of how AI and automation can be applied to business processes, productivity initiatives, and operational use cases.
Experience integrating solutions with APIs, enterprise systems, applications, connectors, or data sources.
Strong problem-solving, communication, and stakeholder-management skills, including the ability to explain technical concepts clearly to non-technical users.

Nice-to-Have

Experience with Microsoft Power Platform, including Power Apps, Power Automate, and Dataverse.
Experience with generative AI, AI agents, or other AI-assisted application development tools.
Experience taking an AI or automation solution from prototype or proof of concept through production deployment or broader adoption.