Solution System Manager (m/f/d)

Solution System Manager (m/f/d) Ericsson is one of the leading providers of Information and Communication Technology (ICT) to service providers, with about 40 % of the world-s mobile traffic carried through our networks. We enable the full value of connectivity by crafting groundbreaking technology and services that are easy to use, adopt and scale, making our customers successful in a fully connected world. For more than 140 years, our ideas, technology and people have changed the world: real turning points that have transformed lives, industries and society as a whole. Are you in? About this opportunity: Ericsson-s Cloud, Common and Solutions System & Technology provides architecture, systemization, and technology leadership across Core Network Solutions.

We are seeking innovative Solution System Manager to lead design, deployment and system-level management of advanced network solutions focusing on automation and AI/ML integration.

In this role you will drive automation and AI/ML-enabled capabilities across the architecture - implement automated workflows and orchestrating network functions to enhance efficiency and reliability, as well as leveraging AI/ML technologies to optimize network performance, streamline operations, and drive intelligent service delivery.

Lead the adoption and integration of AI/ML algorithms, leveraging automation to enable predictive maintenance, optimize network performance, and orchestrate intelligent services. Design and implement technical strategies that combine AI/ML-driven analytics with automated workflows for effective anomaly detection, traffic management, and enhanced user experience. Promote innovation and continuous improvement in system operations by integrating emerging automation technologies and AI/ML methodologies. Collaborate across product development units, system and senior experts to align system roadmaps, interfaces and validation strategies. Drive continuous improvement through evaluation and adoption of new automation technologies and AI/ML methodologies. Ensure AI/ML deployments meet security, privacy and regulatory requirements, and follow best practices for explainability and responsible AI. Contribute to knowledge sharing, documentation, and operational runbooks.

Required qualifications: Bachelor-s or Master-s degree (or equivalent experience) in Telecommunications, Computer Science, Artificial Intelligence, Machine Learning, Automation Engineering or a related discipline. Demonstrated experience developing, deploying, and managing AI/ML solutions for telecom network automation, including model training, validation, and integration into live network environments. Proficiency in using leading AI/ML frameworks and automation platforms to support network operations and intelligent orchestration. Experience implement predictive analytics, anomaly detection and self-healing mechanisms in networked systems. Strong collaboration and communication skills with experience working in cross-functional and agile teams. Ability to learn and adopt new automation and AI/ML tools and practices as technologies evolve.

Preferred qualifications (nice to have): Experience with CI/CD, DevOps practices and automation tools tailored for telecom and AI/ML system deployment Experience with secure, ethical, and privacy-preserving AI/ML deployment, including federated learning, explainable AI, and compliance with telecom regulations. Ability to manage multiple complex automation and AI/ML projects in dynamic, fast-evolving telecom environments. Experience with edge computing, IoT integration, network slicing and their intersection with AI/ML and automation. Experience in Telecommunication architecture, with success in implementing automation and intelligent network management systems. Knowledge of open-source automation and AI/ML tools, cloud-native architectures, and microservices for scalable network solutions. Ability to develop and implement AI/ML-based algorithms for real-time network monitoring, optimization, and automation.

An international working environment with cooperative teams Flexible working hours as well as hybrid working 30 vacation days per year Excellent learning and personal development opportunities within Ericsson Corporation, regular courses, seminars, and on-the-job training Ergonomic workplace Company cell phone so for private use Corporate benefits-portal with special conditions for travel, insurance, events, fashion, and much more Corporate Health Management What's in it for you: You will be part of a cross Product Development Units system area team, collaborating with managers and senior experts from all core products to shape and drive the evolution of AI/ML enabled Core Networks-building strong system competence and broad technical influence.