AI Intern - Business Efficiency - Mobile Connectivity Solutions

Posted Yesterday
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Mexico City, Cuauhtémoc, Mexico City, MEX
Hybrid
Internship
Artificial Intelligence • Big Data • Information Technology • Security • Software
The Role
AI intern supporting the integration of LLMs, agentic workflows, MCP server automation, prompt engineering, and AI-assisted development into business processes. Responsibilities include testing AI tools, building scripts and internal prototypes, supporting Agile and DevOps adoption, analyzing datasets, documenting findings, gathering requirements, and collaborating with engineering, operations, delivery, QA, finance, and support teams to improve efficiency and decision-making.
Summary Generated by Built In
Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billions of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

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).

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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!

Skills Required

  • Currently studying in the third year or above of Engineering, Computer Science, Data Science, or a related field
  • Availability to work while studying
  • Solid Python skills
  • Solid Linux skills
  • Solid Git skills, including CI/CD, GitLab, or GitHub
  • Familiarity with Generative AI, LLMs, and prompt engineering
  • Basic understanding of data processing, analysis, and visualization
  • Fluency in English and Spanish
  • Self-driven attitude, strong communication, teamwork, and problem-solving skills
  • Exposure to agentic AI, MCP servers, Claude Code, or Copilot-style assistants
  • Familiarity with Confluence, Jira, or ServiceNow
  • Interest in Agile, DevOps, or Team Topologies
  • Experience with AWS, Azure, or GCP

Thales Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thales and has not been reviewed or approved by Thales.

  • Retirement Support — Retirement plans with employer contributions and matches, profit sharing, and share purchase opportunities are emphasized across multiple regions. These elements are positioned as competitive components of total rewards.
  • Leave & Time Off Breadth — Generous PTO that increases with tenure, paid holidays, and paid military, maternity, and paternity leave are described. This breadth supports work–life balance across locations.
  • Flexible Benefits — Hybrid work options, flexible schedules, and parental supports such as childcare benefits and leave for sick children are available in several markets. Flexibility is presented as a core part of the employee experience.

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The Company
HQ: Paris
63,258 Employees

What We Do

Thales is a global high technology leader investing in digital and “deep tech” innovations – connectivity, big data, artificial intelligence, cybersecurity and quantum technology – to build a future we can all trust, which is vital to the development of our societies. The company provides solutions, services and products that help its customers – businesses, organisations and states – in the defence, aeronautics, space, transportation and digital identity and security markets to fulfil their critical missions, by placing humans at the heart of the decision-making process.

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