The AI Architect is responsible for defining and steering the AI strategy for telecommunications network management, working closely with the AI Architect to establish the target AI implementation architecture and a phased roadmap toward achieving full autonomy in network operations, aligned with TM Forum Autonomous Network Level 4 and Level 5.
A core aspect of the role is active engagement with systems analysts and development teams across the organization, ensuring that AI-related design, implementation, and operational practices are consistent, scalable, and aligned with the agreed strategic and architectural direction.
This is a strategic role, shaping how AI is applied coherently across products, platforms, and domains rather than delivering isolated solutions.
What you will Do
- Define and support AI strategies for telecom network management and automation.
- Identify business and operational opportunities where AI can improve network performance, assurance and efficiency.
- Lead or support AI proof-of-concepts, including defining the problem, data requirements, target users, success measures and technical approach.
- Translate successful proofs of concept into scalable product, platform or operational capabilities.
- Work with systems analysts, architects and development teams to align AI solutions with broader OSS, orchestration, assurance and cloud-native architectures.
- Support the design of AI-enabled control loops, decision-making processes, confidence scoring, explainability, guardrails and rollback mechanisms.
- Contribute to 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.
- Help establish appropriate governance, observability, auditability and operational-readiness practices for AI solutions.
What you will Bring
AI transformation experience
- Proven experience transitioning a non-AI business area, department, product or operational process into an AI-enabled capability.
- Evidence of delivered or piloted AI solutions that produced measurable business, customer or operational value.
- Experience moving beyond experimentation and addressing adoption, integration, governance and production-readiness challenges.
- Examples may include:
- AI-assisted network assurance
- Predictive fault or capacity management
- Automated incident diagnosis
- Self-healing or closed-loop operations
- AI-enabled customer or operational support
- Intelligent knowledge-management solutions
- LLM or agent-based workflow automation
AI and emerging technologies
- Practical understanding of AI/ML concepts and their application in enterprise or telecom environments.
- Experience with one or more of the following:
- Large Language Models (LLMs)
- Agentic AI and AI agents
- NCP
- Knowledge graphs
- Retrieval-augmented generation
- Explainable and governed AI
- AI evaluation, monitoring and operational controls
- Ability to distinguish viable AI use cases from technology demonstrations with limited business value.
Systems analysis and architecture
- Experience in systems analysis, requirements definition, process modelling or solution design.
- Understanding of distributed, cloud-native and microservices-based architectures.
- Ability to map business problems to data, AI, decision and execution components.
- Familiarity with APIs, data flows, system integration and operational dependencies.
- Knowledge of telecom network management, OSS, orchestration or assurance is strongly preferred.
Telecom and autonomous networks (Not essential but good to have)
- Understanding of network-management domains such as RAN, Transport, Core and Cloud.
- Familiarity with TM Forum, 3GPP, ETSI, Open APIs or multi-vendor environments.
- Awareness of autonomous-network concepts, including closed-loop operations, intent-based management and progressive reduction of manual intervention.
Collaboration and influence
- Ability to work across product management, architecture, systems analysis and distributed development teams.
- Strong communication skills, including the ability to explain AI concepts to non-specialist stakeholders.
- Experience influencing decisions without direct line authority.
- A pragmatic, outcome-focused approach to balancing innovation with delivery, risk and maintainability.
What success looks like
Within the first stages of the role, the successful candidate will be able to:
- Identify and prioritise high-value AI opportunities.
- Define and deliver credible AI proof-of-concepts.
- Demonstrate measurable value from AI adoption.
- Establish a practical path from proof of concept to production.
- Improve alignment between business needs, systems architecture and AI implementation.
- Help teams adopt consistent, reusable and governed AI practices.
- Build stakeholder confidence in the safe and effective use of AI.
Education and experience
- Typically five plus years of relevant professional experience in AI, systems analysis, software, telecom, architecture, product development or digital transformation.
- 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.
What we offer
- This is a hybrid position (3 days per week on site) based at our Ireland Athlone Office. More information about Ericsson Athlone: VIDEO: Working at Ericsson Athlone
- A healthy work-life balance (flexible hours, maternity/paternity and parental leave).
- 25 days annual leave + plus 2 company days, family-friendly work environment!
- Multifaceted sports and social club which hosts many sporting (e.g. golf, football, swimming, tennis) and social (e.g. gaming, theatre, movie, nights out) activities.
- Expand your horizons in a rich multicultural environment and collaborate with colleagues from all over the globe.
- Clearly defined career paths improved with inhouse training and financial support for external study.
- Opportunities to travel around the world and work directly with our customers.
- Pension scheme, health insurance, company doctor, life cover and sick pay/income continuance plan.
- Tax saver commuter/bike to work scheme.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Ireland (IE) || Athlone
Skills Required
- Strong background in AI and machine learning for telecom network automation, including closed-loop control, self-healing, predictive optimization, and SLA-driven assurance
- Experience designing AI control loops, decision hierarchies, confidence scoring, and explainability
- Knowledge of AI governance, risk management, observability, guardrails, and rollback mechanisms
- Proven experience defining target architectures with separation of data, intelligence, decision, and execution layers
- Strong grounding in cloud-native and microservices architectures, APIs, and distributed systems
- Familiarity with TM Forum Open APIs, 3GPP, ETSI, multi-vendor environments, and Open RAN
- Track record of building multi-year roadmaps from current automation to intent-driven, self-managing networks
- Ability to decompose strategy into incremental delivery milestones while balancing short-term benefits and long-term architecture
- Experience bridging product management, central architecture, and multiple development teams
- Experience standardizing reference architectures, reusable components, shared data abstractions, and best practices
- Strong stakeholder management and ability to influence without direct line authority
- Experience defining AI governance principles, including explainability, auditability, and risk management
- Background operationalizing AI at scale and enabling organizations to trust autonomous decisions
- Senior-level experience in AI/ML and telecommunications or networking
- Excellent communication skills
- Deep understanding of telecom network management across RAN, Transport, Core, and Cloud domains
- Experience with OSS, orchestration, and assurance architectures
- Familiarity with TM Forum Autonomous Networks Levels 4 and 5
- Experience in product, platform, or architecture roles rather than isolated proof-of-concept work
What the Team is Saying
.png)
.png)
Similar Jobs
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
Gallery
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
