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Thales

Global defense and aerospace electronics

IT Architect

Platform EngineeringConfirmed live in the last 24 hours
Full-timeIssy-les-Moulineaux, FranceNo salary listedHybrid

About the Job

Requirements

  • Hold a Master 2 / BAC+5 qualification from an engineering school or university and have at least 7 years of experience in IT architecture, infrastructure, cloud platform engineering, and/or Data/AI environments.
  • Have demonstrated experience defining shared technical environments for development teams, with a focus on platforms, standardization, and enablement.
  • Have contributed to selecting, integrating, or structuring complex technology solutions, ideally across infrastructure, security, software development, and AI.
  • Be able to assess existing solutions and integrate them at group scale, balancing standardization, user value, security, cost, and deployment speed.
  • Understand IT architecture fundamentals, including infrastructure, networking, security, identity and access management, storage, compute, resilience, observability, integration, and operations.
  • Have practical experience defining technical platforms or shared foundations for development or delivery teams.
  • Be able to design environments that accelerate AI and agentic solution development, including development environments, shared services, orchestration, application programming interfaces, pipelines, observability, access to compute resources, and security services.
  • Understand modern AI stack components, including experimentation environments, serving components, orchestration, model management, retrieval-augmented generation components, large language model gateways, vector stores, monitoring, security, and governance.
  • Be able to evaluate existing solutions, analyze their capabilities and limitations, and define their integration into a broader IT ecosystem.
  • Be able to lead integration of a platform or cross-functional solution, including technical scoping, dependency identification, interface management, defining non-functional requirements, and supporting deployment.
  • Be comfortable with automation and industrialization practices, including infrastructure as code, containers, continuous integration and continuous delivery, automation scripts, and reproducible deployments.
  • Understand DevSecOps, MLOps, or LLMOps practices relating to lifecycle, deployment, security, monitoring, and operations.
  • Be able to formalize clear, actionable, reusable architecture standards, patterns, and blueprints.
  • Have strong written and spoken French and English skills.
  • Be sensitive to security, confidentiality, sovereignty, and on-premises or hybrid deployment constraints, particularly in critical environments.
  • Be able to interact with multidisciplinary teams, including development teams, data and AI engineers, solution architects, cybersecurity, operations, infrastructure leads, and group stakeholders.
  • Be able to structure an architecture vision and translate it into an operational roadmap.

Responsibilities

  • Define the target architecture for services and technical components made available to teams to accelerate development of AI and agentic use cases.
  • Build an integration roadmap based as much as possible on group reference standards, platforms, and services.
  • Define interfaces with infrastructure, security, identity management, observability, deployment, and operations components.
  • Establish non-functional requirements for cybersecurity, confidentiality, performance, resilience, auditability, maintainability, and cost control.
  • Produce recommendations, standards, patterns, and blueprints to support consistent adoption by teams.
  • Coordinate work with platform, infrastructure, cybersecurity, solution architecture, and delivery teams.
  • Support teams in adopting services and the AI stack through enablement and skills transfer.
  • Contribute to the overall coherence of the technical ecosystem by reducing duplication, encouraging reuse, and securing architecture choices.
  • Identify structural needs of AI and agentic development teams, inventory existing group solutions, and design a secure, industrializable target environment that is straightforward to use.
  • Qualify the selected AI stack solution, assess its fit to requirements, define its position in the IT ecosystem, lead integration with relevant teams, and support implementation through effective adoption.
  • Collaborate with engineering, system, solution, software, data, and AI architects; bid and project managers; cybersecurity teams; technical organizations; and authorized stakeholders across Thales and Naval Group.

Desired Qualifications

  • Experience architecting or integrating AI platforms in on-premises or hybrid environments is an advantage.
  • Knowledge of critical systems, regulated environments, or digital sovereignty constraints is appreciated.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

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