Artificial Intelligence Internship

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The role is focussed on the research and development of Artificial Intelligence (AI) within the context of simulation and training, in order to generate capabilities that will improve the quality of services such as Test & Integration, After Action Review and the automated configuration of scenarios and network deployments.

We are seeking an individual who is passionate about applying new technologies in the growing field of Computer Generated Forces (CGF) and their application to training services. You are expected to be comfortable in working semi-autonomously to explore and solve research tasks in this new area of technology, and with the confidence to work alongside a dynamic team of like-minded people within a close, collaborative environment.

This is a fast-paced technical role that will deliver meaningful change to the UK MOD, in existing projects and will enable the successful candidate to contribute to work that will have tangible benefits for the Business. The role is based at the Boeing Fleet Office in Hampshire and is a site-based appointment.

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• Working to an Integrated Project Team Lead (IPTL) to define and understand AI projects against existing simulation capabilities and problems
  
• Working within a multi-functional team, to define the requirements and solution options to solve AI problems against existing simulation capabilities and challenges
  
• Working within a multi-functional team, to plan and document project solutions that include Work Breakdown Structures (WBS) and schedules to develop, alongside a Project Manager, accurate Basis of Estimates (BOE) for the work to be conducted
  
• Configuration of a web front-end of a Large Language Model and supporting databases, to support assigned projects and use Retrieval Augmented Generation (RAG), where appropriate, to support the research outputs
  
• Use analytical tools and processes to evaluate solutions and appropriate systems to optimize results and improve LLM performance
  
• Collaborate with third-party suppliers to resolve emergent issues or faults. Additionally working with wider Boeing teams to support and enhance integration, testing and development
  
• Maintain and review processes and documentation as required
  
• Occasional travel to remote sites may be required
  
• Demonstrate the Boeing Values and Behaviours
  

You will be a passionate technical undergraduate engineer studying maths, physics or computer science (or related field) probably entering your final year at university and have experience of simulation models, common programming languages such as Java, Python or C++.

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• Good communication and teamwork skills
  
• Academic problem-solving and analytical abilities
  
• Experience supporting software and applications on Windows, Server, and Linux (RHEL) systems
  
• Basic understanding of how to deploy and manage software on complex systems
  
• Awareness of source control tools and how code is stored and managed
  
• Basic knowledge of networking, including common protocols and routing
  
• A positive, 'can-do' approach
  
• Willingness to work in a military environment and adhere to security rules
  
• Desirable: Some experience with simulation systems, especially HLA & DIS protocols
  
• Desirable: Familiarity with synthetic training environments
  
• Commitment to working safely at all times
  
• Applying good engineering practices and principles in daily work
  
• Must be a UK National due to site security requirements
  
• Must have or be willing to obtain SC security clearance.
  

Applications for this position will be accepted until Mar. 21, 2026

This is not an Export Control position.

Relocation assistance is not a negotiable benefit for this position.

This position requires the ability to obtain United Kingdom Security Check.

Employer will not sponsor applicants for employment visa status.

Day Shift (United Kingdom)

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are a Disability Confident Committed employer and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.