Digital AI Accelerator

ALTEN Technology USA•Kinston, NC

3h•$90,000 - $115,000•Onsite

About The Position

We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Position Summary We are seeking a pragmatic, high-energy Digital AI Accelerator to drive AI literacy, adoption, and practical AI use case discovery at the Airbus Kinston manufacturing site. This role will serve as a catalyst for accelerating the effective use of AI technologies across manufacturing and operational teams by identifying opportunities, educating stakeholders, and translating business challenges into scalable AI solutions. The ideal candidate combines strong AI literacy across enterprise AI platforms, including Google Gemini, Workspace AI capabilities, and low-code/no-code tools, with a solid understanding of manufacturing operations and continuous improvement practices. While deep software engineering expertise is not required, the successful candidate must be able to bridge the gap between operational needs and technical possibilities by defining, prioritizing, and shaping AI-driven solutions that deliver measurable business value.

Requirements

Bachelor's degree in Engineering, Manufacturing, Information Technology, Business, Data Analytics, or a related field, or equivalent practical experience.
Demonstrated understanding of artificial intelligence concepts, enterprise AI tools, and generative AI applications.
Experience using or supporting AI-enabled platforms such as Google Gemini, Workspace AI tools, or similar enterprise AI technologies.
Knowledge of low-code/no-code platforms and their application to business process improvement.
Strong ability to identify operational challenges and translate them into actionable technology solutions.
Experience working within manufacturing, industrial, operations, or production environments.
Excellent communication, presentation, facilitation, and stakeholder engagement skills.
Ability to influence and drive organizational change through collaboration and education.
Strong analytical and problem-solving skills with a focus on delivering practical business outcomes.
Comfortable working across technical and non-technical teams and communicating with all levels of the organization.
Self-motivated, energetic, and capable of managing multiple initiatives in a dynamic environment.

Nice To Haves

Experience supporting digital transformation, process improvement, continuous improvement, or innovation programs is preferred.
Familiarity with data analysis, automation tools, and AI governance considerations is a plus.

Responsibilities

Drive AI awareness, literacy, and adoption across manufacturing and operational functions.
Identify operational inefficiencies, process bottlenecks, and business challenges that may benefit from AI-enabled solutions.
Facilitate workshops, demonstrations, and training sessions to increase understanding and practical use of AI tools.
Partner with manufacturing, engineering, quality, supply chain, and support teams to discover and assess AI opportunities.
Translate operational requirements into clearly defined AI use cases and solution concepts.
Evaluate and promote the effective use of enterprise AI platforms, including Google Gemini and Workspace AI capabilities.
Leverage low-code/no-code technologies to rapidly prototype and validate AI-driven solutions.
Collaborate with technical teams and stakeholders to scope, prioritize, and implement AI initiatives.
Monitor AI adoption, user engagement, and business outcomes, providing recommendations for continuous improvement.
Act as a trusted advisor and change agent, helping teams integrate AI capabilities into day-to-day operations.
Ensure AI initiatives align with business objectives, operational priorities, and governance requirements.
Maintain awareness of emerging AI technologies, trends, and best practices relevant to manufacturing environments.