Ericsson Jobs

Senior AI Practitioner

Ericsson

Senior AI Practitioner

Posted Yesterday

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2 Locations

In-Office

Senior level

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)

We are shaping the future of digital connectivity the world relies on.

The Role

Defines and steers AI strategy and target architecture for autonomous telecommunications network management. Develops multi-year roadmaps toward TM Forum Autonomous Network Levels 4 and 5, establishes reusable AI patterns, and aligns product, architecture, and development teams. Guides closed-loop control, self-healing, predictive optimization, governance, explainability, observability, guardrails, and operational readiness across RAN, Transport, Core, and Cloud domains.

Summary Generated by Built In

Grow with us
The Senior AI Practitioner 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 senior strategic and technical leadership role, shaping how AI is applied coherently across products, platforms, and domains rather than delivering isolated solutions.
What you will Do
AI Strategy & Vision

Work with the architecture team to define and maintain the AI strategy for network management and autonomy, aligned with business, operational, and transformation objectives
Establish common AI capability principles and patterns applicable across RAN, Transport, Core, and Cloud management domains.

Target AI Architecture Definition

Co-own the target AI implementation architecture with the AI Architect, ensuring:
- Consistent AI control-loop patterns and decision hierarchies
- Clear separation of concerns between data, intelligence, decisioning, and execution layers
- Alignment with OSS, orchestration, and assurance architectures
Promote architectural alignment with:
- Cloud-native and microservices principles
- Open standards and interfaces (TMF Open APIs, 3GPP, ETSI) as well as de facto open source implementations
- Multi-vendor and disaggregated environments, including Open RAN

Roadmap & Transformation Planning

Develop a multi-year roadmap from current-state automation to intent-driven, self-managing networks
Decompose strategic objectives into actionable, incremental delivery milestones.
Balance near-term operational benefits with long-term architectural sustainability.

Development Team Engagement & Alignment

Act as a primary AI strategy and architecture liaison between product management, central architecture functions across Ericsson and multiple distributed development teams
Drive best practices and consistency across teams, including:
- Common AI design patterns and reference architectures
- Shared approaches to closed-loop control, explainability, and confidence scoring
- Reusable AI components, services, and data abstractions
Provide architectural guidance and design review to ensure:
- Solutions align with the target AI architecture and autonomy roadmap
- Duplication and fragmentation are avoided
- AI capabilities evolve coherently across the organization
Influence ways of working without direct line authority, using technical credibility and collaboration.

Autonomous Network Use Case Enablement

Support and shape key AI-driven network management use cases, such as:
- Closed-loop fault management and self-healing
- Predictive performance and capacity optimization
- Energy efficiency and sustainability automation
- Experience- and SLA-driven assurance
Ensure use cases are designed for safe, scalable autonomy at L4/L5, including:
- Clear control boundaries (human-on-the-loop vs autonomous)
- Operational trust, observability, guardrails and rollback mechanisms

Governance, Trust & Operational Readiness

Define and align principles for:
- AI governance in autonomous decision-making
- Explainability, auditability, and risk management
- Progressive reduction of manual intervention
Support organizational readiness for operating and trusting autonomous systems at scale.

The Skills You will Bring
AI/ML & control-loop engineering

Strong background in AI/ML for network automation (closed-loop control, self-healing, predictive optimisation, SLA-driven assurance).
Experience designing AI control loops, decision hierarchies, confidence scoring and explainability.
Knowledge of AI governance, risk, observability, guardrails and rollback mechanisms.

Architecture & technical leadership

Proven experience defining target architectures: clear separation of data, intelligence, decision and execution layers.
Strong grounding in cloud-native, microservices architectures, APIs and distributed systems.
Familiarity with open standards and interfaces (e.g. TMF Open APIs, 3GPP, ETSI) and multi-vendor / Open RAN environments.

Strategy, roadmapping & transformation

Track record of building multi-year roadmaps from current automation to intent-driven, self-managing networks.
Ability to decompose strategy into incremental, deliverable milestones, balancing quick wins and long-term architecture.

Cross-team influence and collaboration

Experience acting as a bridge between product management, central architecture and multiple dev teams.
Ability to standardise patterns and best practices (reference architectures, reusable components, shared data abstractions).
Strong stakeholder management and influencing without line authority, using technical credibility and collaboration.

Governance, trust & operational readiness

Experience defining AI governance principles (explainability, auditability, risk management).
Background in operationalising AI at scale: readiness of organisations, processes and tools to trust autonomous decisions.
Senior-level experience in AI/ML + telecom/networking, ideally in product/platform or architecture roles rather than isolated PoCs.
Excellent communication skills to align diverse stakeholders around a coherent AI strategy and architecture.

Telecom network & domain expertise

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 (L4/L5) and related autonomy concepts.

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

Ericsson Compensation & Benefits Highlights

Healthcare Strength — Health coverage is described as broad and reliable, with multiple medical plan choices, dental/vision, and mental-health/EAP resources. Available descriptions highlight healthcare and disability insurance as consistent strengths.
Retirement Support — U.S. materials point to an automatic company 401(k) contribution plus matching that can add up to a notably high employer contribution, and some regions also offer pension options. This structure is often cited as a meaningful component of total rewards.
Leave & Time Off Breadth — Time-off programs are characterized as generous, with sizable vacation allowances, paid holidays, sick time, volunteer time, and strong parental leave in some locations. PTO is frequently highlighted as a standout element of the package.

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The Company

HQ: Stockholm

88,000 Employees

Year Founded: 1876

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.

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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.

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