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Thales

Global defense and aerospace electronics

Agentic Automation Engineer

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

About the Job

Requirements

  • Hold a Master 2 / BAC+5 degree from an engineering school or university and have at least 5 years of experience in software engineering and/or Data/AI, including demonstrated experience in automation, orchestration, and industrialization.
  • Have hands-on experience implementing agentic systems, including agents, tool use, workflows, and orchestration, and/or intelligent automations such as RPA, workflow, or LLM-driven automation.
  • Work collaboratively with multidisciplinary teams including data/AI scientists, software engineers, solution architects, and operations/security teams.
  • Be sensitive to security, confidentiality, and on-premise constraints involving sensitive defense data.
  • Have strong software development experience, particularly in Python and/or Java/TypeScript, and knowledge of software engineering practices including testing, quality, CI/CD, and packaging.
  • Have in-depth knowledge of implementing agentic automation systems and designing agent harnesses, including controlled tool calling, multi-step workflow design, state management, retries, timeouts, and performance and reliability evaluation through observability, metrics, and structured logs.
  • Have good command of production LLM/AI components, including RAG, prompt and policy management, security constraints such as redaction, filtering, and policy enforcement, and quality evaluation through tests, goldens, scoring, and drift/quality guardrails.
  • Have good command of CI/CD tools and practices, Docker containers, pipelines, and dependency management tools such as Poetry, Maven, SBT, or equivalents.

Responsibilities

  • Build and industrialize reusable automated capabilities, including standard patterns for agents and workflows, tool use, controls, and state management; implement security, compliance, and action-limit guardrails; and provide reusable components such as internal SDKs, repository templates, and orchestration modules.
  • Drive adoption enablement through workshops and pairing/coaching with product, data, and AI teams; conduct pragmatic architecture reviews to secure adoption; and support production deployment through CI/CD, testing, observability, and error management.
  • Establish evaluation and observability for agents and practices by defining metrics such as success rate, latency, cost, and robustness; setting up evaluation mechanisms including functional tests, scenarios, and quality gates; and ensuring actionable traceability through audit logs for teams and sensitive environments.
  • Ensure AI automations comply with the security, confidentiality, and auditability requirements of critical environments.
  • Integrate automation into existing environments by connecting internal APIs, authorized data sources, and job schedulers, and adapt solutions to on-premise constraints and security policies.

Desired Qualifications

  • Experience in an agile organization is a plus.
  • Knowledge of MLOps/LLMOps practices such as versioning, controlled deployment, and on-premise/cloud environments 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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