ph3Job Description /h3 pAt Arelion, we operate one of the world’s most advanced global networks. As the telecom sector accelerates its AI adoption — with 68% of telcos already running GenAI in production and 74% seeing ROI from at least one AI use case — we are scaling our next wave of AI‑driven transformation across Engineering, Operations, and Service Assurance. To support this journey, Arelion is expanding its AI initiatives to industrialize automation, predictive insights, and intelligent workflows. We’re now hiring an bAI Engineer /b to help us build the future of intelligent network operations. Job Title: AI Engineer Department: Network Engineering Architecture Location: Hybrid, Poland, Czech, or in any Arelion European Hub As part of Arelion’s AI initiatives, you will architect, build, and operationalize AI solutions across the company — from GenAI apps to AIOps intelligence to RAG systems. You will bridge engineering, data, and product thinking to deliver tangible business impact. /p h3Job Requirements /h3 h3AI ML Technical Skills /h3 ul liStrong hands‑on experience with LLMs, GenAI frameworks, ML/analytics pipelines, and vector based retrieval systems. /li liProficiency in Python and experience building production grade AI integrations. /li liUnderstanding of enterprise AI patterns such as RAG, observability, agent workflows, and model evaluation. /li /ul h3Architecture Integration Skills /h3 ul liAbility to design secure, scalable integrations between cloud and enterprise systems. /li liKnowledge of data pipelines, event streams, observability, and system‑to‑system connectivity patterns. /li liExperience building or integrating platform capabilities that support AI at scale. /li /ul h3Data Scientist Knowledge desirable /h3 ul liUnderstanding of core data science concepts such as feature engineering, statistical modelling, experiment design, model evaluation, and hypothesis driven analysis. /li liAbility to work with structured and unstructured data,



run exploratory analyses, and interpret results to guide AI solution design. /li liFamiliarity with ML lifecycle practices (data preparation, model training, validation, and monitoring) to collaborate effectively with Data Scientists and accelerate AI delivery. /li /ul h3Telecom Domain Learning Ability /h3 ul liYou don’t need deep telecom expertise today — but you should be motivated to learn about IP routing, EVPN/L3VPN, telemetry, and optical network concepts. /li /ul h3Analytical Product Thinking /h3 ul liSkilled at designing experiments, KPIs, and ROI measurement. /li liAble to translate technical possibilities into clear business impact. /li /ul h3Experience in the Data AI Field /h3 ul liAt least 5 years of experience working in data, analytics, machine learning, or AI‑driven environments, contributing to real world data pipelines, model development, or AI enabled applications. /li liProven ability to work end to end with data and collaborate with Data Scientists, Data Engineers, and domain experts to deliver impactful AI solutions. /li /ul h3Collaboration Communication /h3 ul liStrong communicator able to simplify AI concepts for non‑experts. /li liComfortable collaborating with Engineering, Architecture, IT, and Operations teams. /li /ul h3Adaptability Curiosity /h3 ul liPassionate about learning emerging AI tools and approaches in a rapidly evolving field. /li /ul h3Job Responsibilities /h3 h3AI AIOps Solution Development /h3 ul liBuild GenAI and ML solutions for predictive analytics, anomaly detection, RCA, correlation, enrichment,



and automated remediation. /li liDevelop AI powered workflows leveraging network trained LLMs for IP and Optical domains. /li liPrototype AI driven automations using Python, model APIs, and modern agent frameworks. /li /ul h3AI Platform Engineering /h3 pArelion’s AI platform engineering provides the core capabilities needed to scale AI safely and effectively across the business. It enables secure access to AI platforms, transparent cost governance, and a unified digital fabric that lets AI systems interact reliably with enterprise data and applications. It also ensures high‑quality, well‑governed data, clear visibility into AI performance, support for both cloud and on‑prem models where required, and modern tools for development and experimentation. Together, these elements create a secure and scalable foundation for delivering impactful AI solutions across the company. /p pSpecific responsibilities include: /p ul liSupport the design of secure integrations between enterprise systems and AI platforms (via APIs, event streams, messaging, or connectors). /li liContribute to data preparation pipelines and retrieval ready knowledge structures for RAG and automation use cases. /li liImplement end‑to‑end visibility for AI behavior, performance, and quality. /li liHelp define architectures that enable both cloud based and on‑prem AI deployments where security or latency requires it. /li liWork with teams using modern AI augmented development tools and safe experimentation environments. /li /ul h3Job Benefits /h3 h3Why Join Arelion? /h3 ul liBuild the AI foundation of a integral telecom leader. /li liWork across rich, real‑time data spanning IP, optical, OSS, BSS, and customer operations. /li liJoin a high‑visibility initiative with strong executive support. /li liShape impactful GenAI, AIOps, and automation capabilities used across the company. /li /ul /p #J-18808-Ljbffr

📌 Senior AI Engineer (Madrid)
🏢 Arelion
📍 Madrid