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 optimisation
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 organisational 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
A healthy work‑life balance (flexible hours, maternity/paternity and parental leave)
25 days annual leave + two company days, family‑friendly work environment
Multifaceted sports and social club which hosts many sporting and social activities
Expand your horizons in a rich multicultural environment and collaborate with colleagues from all over the globe
Clearly defined career paths improved with in‑house 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
Equal Opportunity Employer
Ericsson is proud to be an Equal Opportunity Employer. Learn more.
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