Senior AI Engineer

Arelion; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Work across rich, real-time data

High visibility initiative

Strong executive support

Descripción de la vacante

A leading telecom provider is looking for an AI Engineer to architect and develop AI solutions for intelligent network operations. This hybrid position requires strong expertise in AI and ML techniques, collaboration skills, and a passion for innovative technologies. The ideal candidate will have experience in building production-grade AI systems and will work closely with data and engineering teams to deliver impactful solutions. Join this initiative to shape the future of AI capabilities in the telecom sector.

Formación

• At least 5 years of experience in data, analytics, or AI-driven environments.
• Proven ability to work end-to-end with data and collaborate on impactful AI solutions.
• Comfortable collaborating with diverse teams in technical and non-technical roles.

Responsabilidades

• Build GenAI and ML solutions for predictive analytics and anomaly detection.
• Contribute to data preparation pipelines and knowledge structures for AI use cases.
• Support the design of secure integrations between enterprise systems and AI platforms.

Conocimientos

Strong hands-on experience with LLMs

Proficiency in Python

Understanding of enterprise AI patterns

Ability to design secure integrations

Knowledge of data pipelines

Understanding of core data science concepts

Strong communicator

Passionate about learning emerging AI tools

Descripción del empleo

Job Description

At 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 AI Engineer 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.

Job Requirements

AI & ML Technical Skills

• Strong hands‑on experience with LLMs, GenAI frameworks, ML/analytics pipelines, and vector based retrieval systems.
• Proficiency in Python and experience building production grade AI integrations.
• Understanding of enterprise AI patterns such as RAG, observability, agent workflows, and model evaluation.

Architecture & Integration Skills

• Ability to design secure, scalable integrations between cloud and enterprise systems.
• Knowledge of data pipelines, event streams, observability, and system‑to‑system connectivity patterns.
• Experience building or integrating platform capabilities that support AI at scale.

Data Scientist Knowledge desirable

• Understanding of core data science concepts such as feature engineering, statistical modelling, experiment design, model evaluation, and hypothesis driven analysis.
• Ability to work with structured and unstructured data, run exploratory analyses, and interpret results to guide AI solution design.
• Familiarity with ML lifecycle practices (data preparation, model training, validation, and monitoring) to collaborate effectively with Data Scientists and accelerate AI delivery.

Telecom Domain Learning Ability

• You don’t need deep telecom expertise today — but you should be motivated to learn about IP routing, EVPN/L3VPN, telemetry, and optical network concepts.

Analytical & Product Thinking

• Skilled at designing experiments, KPIs, and ROI measurement.
• Able to translate technical possibilities into clear business impact.

Experience in the Data & AI Field

• At 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.
• Proven ability to work end to end with data and collaborate with Data Scientists, Data Engineers, and domain experts to deliver impactful AI solutions.

Collaboration & Communication

• Strong communicator able to simplify AI concepts for non‑experts.
• Comfortable collaborating with Engineering, Architecture, IT, and Operations teams.

Adaptability & Curiosity

• Passionate about learning emerging AI tools and approaches in a rapidly evolving field.

Job Responsibilities

AI & AIOps Solution Development

• Build GenAI and ML solutions for predictive analytics, anomaly detection, RCA, correlation, enrichment, and automated remediation.
• Develop AI powered workflows leveraging network trained LLMs for IP and Optical domains.
• Prototype AI driven automations using Python, model APIs, and modern agent frameworks.

AI Platform Engineering

Arelion’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.

Specific responsibilities include:

• Support the design of secure integrations between enterprise systems and AI platforms (via APIs, event streams, messaging, or connectors).
• Contribute to data preparation pipelines and retrieval ready knowledge structures for RAG and automation use cases.
• Implement end‑to‑end visibility for AI behavior, performance, and quality.
• Help define architectures that enable both cloud based and on‑prem AI deployments where security or latency requires it.
• Work with teams using modern AI augmented development tools and safe experimentation environments.

Job Benefits

Why Join Arelion?

• Build the AI foundation of a global telecom leader.
• Work across rich, real‑time data spanning IP, optical, OSS, BSS, and customer operations.
• Join a high‑visibility initiative with strong executive support.
• Shape impactful GenAI, AIOps, and automation capabilities used across the company.