AI Integrator (Mid-Level or Senior)

Engineer

AI Integrator (Mid-Level or Senior)

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  • Date posted
    July 2, 2026
  • Expiration date
    October 2, 2026
  • Application ends
    October 2, 2026

Our Client Currently looking for AI Integrator (Mid-Level or Senior)

 

Position Responsibilities:

  • Conduct ongoing discoveries across GTE & GSE engineering teams to identify current and emerging AI applications, tools, and experiments in use
  • Consolidate findings into a living inventory of AI capabilities, use cases, and lessons learned across the organization
  • Develop and maintain clear, accessible communications that translate AI activity into insights relevant to engineering leaders and teams
  • Design and deliver general AI familiarization training for engineering staff, covering topics such as prompt writing best practices, appropriate use cases, common pitfalls, and the practical strengths and limitations of AI tools
  • Partner with the Innovation Team to help define and evolve GTE & GSE’s AI strategy, translating organizational goals into actionable adoption priorities
  • Engage regularly with the enterprise AI team to stay current on emerging initiatives, tools, and policy direction, and bring relevant insights back into GTE & GSE
  • Serve as a central point of contact for AI-related inquiries across the engineering organization
  • Facilitate knowledge sharing by organizing forums, briefings, newsletters, or other channels that connect teams working on similar AI challenges
  • Identify gaps, redundancies, and high-value opportunities within the organization’s AI landscape and surface recommendations to leadership
  • Track and report on AI adoption progress and organizational impact over time

Basic Qualifications (Required Skills/Experience):

  • 3+ years of experience in program coordination, technical communications, training development, or a related role within an engineering or technical organization
  • Demonstrated ability to gather, synthesize, and communicate complex technical information to both technical and non-technical audiences
  • Hands-on familiarity with AI productivity tools and a working understanding of prompt engineering principles, AI tool strengths and limitations, and responsible use considerations
  • Strong organizational skills with experience managing multiple workstreams and stakeholders simultaneously

Preferred Qualifications (Desired Skills/Experience):

  • 5+ years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc) (Level 4)
  • Bachelor’s degree in Engineering, Communications, Business, Information Systems, or a related field
  • Experience working in or alongside engineering teams in a defense, aerospace, or government contracting environment
  • Experience designing or delivering technical familiarization or awareness training in an engineering environment
  • Experience supporting innovation programs or technology adoption initiatives within a large engineering organization
  • Familiarity with training systems, simulation, or defense sector engineering
  • Knowledge of  platforms or related defense aviation programs
  • Experience creating internal communications strategies, knowledge management systems, or community-of-practice frameworks
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