AI Intern - Business Efficiency - Mobile Connectivity Solutions
Thales is hiring an AI Intern - Business Efficiency - Mobile Connectivity Solutions in Mexico City, Mexico. Level rates it ; you can apply on Thales.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Claude, Copilot and Claude Code.
- Level classifies it as an internship.
- Level lists 3,100+ other open roles at Thales.
- The role was posted in the last few days.
AI in this role
At Thales, we’re looking for a curious, hands-on AI intern to join our MCS Business Efficiency team in Mexico City. This isn’t a “run a few experiments and write a slide deck” kind of internship. You’ll work on real use cases with agentic AI: LLM-based assistants, automation through MCP servers, and prompt engineering. Your work will help transform how our teams operate across Operations, DevOps, Project/Service Delivery, and Quality Assurance.
You’ll also be part of our rollout of Agile, DevOps, and Team Topologies-based ways of working (DDPS) across DES BE Americas, and help bring AI tools like Claude Code into the daily workflows of our engineers. You’ll collaborate with engineers, managers, financial controllers, and support/SRE teams, and see your ideas turn into measurable improvements in efficiency, quality, and decision-making.
What you’ll do
- Test, evaluate, and help integrate AI models, LLM-based tools, and agentic workflows (including MCP server-based automation) into our existing processes
- Support the adoption of Agile, DevOps, and DDPS practices, using AI-assisted tooling where it makes sense
- Design and document prompt-engineering solutions and automation scripts that make Operations, DevOps, PM, and QA work smoother
- Prototype and build internal tools and scripts with AI-assisted development (yes, vibe coding with Claude Code!)
- Work with real datasets and document your findings so the whole team can reuse them
- Join stakeholder meetings, gather requirements, propose solutions, and iterate on feedback
What you bring
- Currently studying (3rd year or above) Engineering, Computer Science, Data Science, or a related field, with availability to work while you study
- Solid Python, Linux, and Git (CI/CD, GitLab, or GitHub) skills
- Familiarity with GenAI/LLMs and prompt engineering, plus a basic understanding of data processing, analysis, and visualization
- Fluent in English and Spanish
- A self-driven attitude, strong communication, and a love of teamwork and problem-solving
Bonus points
- Exposure to agentic AI and tools like MCP servers, Claude Code, or Copilot-style assistants
- Familiarity with Confluence, Jira, or ServiceNow
- Interest in Agile, DevOps, or Team Topologies
- Experience with cloud platforms (AWS, Azure, or GCP).
Say HI and learn more about working at Thales (Click Here)
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At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
How we rate this
AI Intern - Business Efficiency - Mobile Connectivity Solutions at Thales rates 53 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of Claude that you've run into, and how did you work around them?
- What's a project where you used Copilot hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, Claude, Copilot, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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