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# AI Platform Engineer

- **Company:** Advantest Europe Gmbh
- **Location:** France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Business Software, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, DevOps, Python (Programming Language), Key Management, Machine Learning, Azure Machine Learning, Systems Integration, Enterprise Software Applications, Cloud Platform System, Large Language Models, AI Platforms, Git Flow, Kubernetes, Machine Learning Operations, Docker
- **Published:** September 11, 2026
- **Apply:** https://recruiting.adp.com/srccar/public/RTI.home?r=5001223597606&c=2168307&d=External&rb=???&utm_campaign=jobware&utm_source=jobware&utm_medium=jobware

## About the Role

* 7+ years of experience in platform engineering, DevOps, cloud engineering, ML engineering or enterprise software operations, including technical leadership or architecture responsibility.
 * Track record of moving workloads from experimentation into stable, governed production operations at enterprise scale.
 * Experience setting technical direction for a small engineering team and/or steering external delivery partners while retaining internal accountability.
 * Strong background in Python-based engineering, CI/CD, Git-based workflows and modern software delivery practices, with the ability to review technical designs and code-level decisions.
 * Solid understanding of Docker, Kubernetes and cloud AI/ML services on Azure or AWS.
 * Working knowledge of MLOps concepts such as model registries, evaluation pipelines, drift monitoring, retraining workflows and production observability.
 * Understanding of enterprise security expectations, including identity, network isolation, secrets management, API access control and data protection implications.
 * Ability to communicate technical trade-offs clearly to architects, managers and CIO-level stakeholders.
 * Fluency in English, spoken and written.

## Description

IoT, 5G and Artificial Intelligence. Unthinkable without us. More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers.You work in international teams with a high degree of personal responsibility and short communication channels., * Own the target operating model for the CIT AI platform, including governed exploration, model access, deployment patterns, operational ownership and handover between teams and external partners.

 * Define reusable platform patterns and standards for LLM APIs, RAG components, evaluation pipelines, AI gateway integration and business application integration.
 * Set technical direction and priorities for MLOps Engineer(s), review key build decisions and ensure implementation choices remain aligned with platform standards.
 * Own the transition path from sandbox or PoC environments into production-ready architectures, including support model, lifecycle ownership and operational readiness criteria.
 * Define cost transparency and usage visibility for AI platform consumption, including token, cost and usage reporting patterns.
 * Coordinate and steer nearshore, system integration and cloud implementation partners while retaining internal accountability for platform outcomes.
 * Own platform decisions, security assumptions, interface documentation, architecture decisions and handover requirements at governance level.
 * Act as the primary contact for architecture, security, governance, data engineering, cloud platform and application teams on AI platform matters.
 * Report platform roadmap, risks, decisions, adoption progress and production-readiness status to CIO-level and senior stakeholders.


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