4 days ago
Dublin, IrelandSenior
Responsibilities
- Define and support AI strategies for telecom network management, automation, assurance, and performance improvement.
- Lead or support AI proofs of concept by defining problems, data requirements, users, success measures, and technical approaches.
- Translate successful AI experiments into scalable product, platform, or operational capabilities.
- Align AI solutions with OSS, orchestration, assurance, cloud-native, and broader systems architectures.
- Design or support AI-enabled control loops, decision-making, confidence scoring, explainability, guardrails, and rollback mechanisms.
- Develop roadmaps for intelligent, intent-driven, and increasingly autonomous network operations.
- Promote reusable AI patterns, services, data abstractions, and design practices across teams.
- Communicate AI opportunities, risks, and implementation choices to technical, product, and senior business stakeholders.
- Establish governance, observability, auditability, and operational-readiness practices for AI solutions.
Requirements
- At least five years of relevant professional experience in AI, systems analysis, software, telecommunications, architecture, product development, or digital transformation.
- Proven experience transitioning a non-AI business area, product, department, or operational process into an AI-enabled capability.
- Evidence of delivered or piloted AI solutions producing measurable business, customer, or operational value.
- Experience addressing AI adoption, integration, governance, and production-readiness challenges beyond experimentation.
- Practical understanding of AI/ML concepts and experience with one or more of LLMs, agentic AI, NCP, knowledge graphs, retrieval-augmented generation, explainable and governed AI, or AI evaluation and monitoring.
- Experience with systems analysis, requirements definition, process modelling, or solution design.
- Understanding of distributed, cloud-native, and microservices-based architectures, APIs, data flows, system integration, and operational dependencies.
- Knowledge of telecom network management, OSS, orchestration, or assurance is strongly preferred.
- Understanding of RAN, Transport, Core, or Cloud network-management domains and familiarity with TM Forum, 3GPP, ETSI, Open APIs, or multi-vendor environments is beneficial.
- A degree in computer science, engineering, telecommunications, data science, or a related discipline is advantageous; equivalent practical experience and a strong portfolio of delivered AI initiatives will be considered.
- Ability to influence decisions without direct line authority and explain AI concepts to non-specialist stakeholders.
Benefits
- Hybrid position based at the Ericsson Athlone office, with three days per week on site.
- Flexible hours, healthy work-life balance, maternity/paternity leave, and parental leave.
- 25 days of annual leave plus two company days.
- Sports and social club with sporting and social activities.
- Multicultural work environment with global collaboration.
- Defined career paths, in-house training, and financial support for external study.
- Opportunities to travel internationally and work directly with customers.
- Pension scheme, health insurance, company doctor, life cover, and sick pay or income continuance plan.
- Tax saver commuter and bike-to-work scheme.
Categories
About Ericsson
Ericsson is a publicly traded telecommunications vendor that builds mobile network infrastructure (RAN, core, OSS/BSS), cloud platforms, and managed services for communications providers and enterprises. Founded in 1876 and headquartered in Kista, Stockholm, it supplies 5G systems to operators worldwide and owns Vonage, expanding network APIs and enterprise communications offerings.