Solution System Manager

We are seeking an 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 - implementing 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.

What you will do:

• 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 managers 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.

Do you have experience in Telecommunication?, Do you have a Master's degree?, * 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 implementing 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.

What's in it for you

You will be part of a cross Product Development Units system area team, collaborating with system managers and senior experts from all core products to shape and drive the evolution of AI/ML enabled Core Networks-building strong system level expertise and broad technical influence.

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.