AI Telco Architect
Darwin Recruitment
AI Telco Architect
Samenvatting
Wat krijg je?
Wat ga je doen?
- AI-integratiearchitectuur definiëren over diverse OSS-domeinen
- Adviseren over inzet van verschillende AI-frameworks voor telecomuse-cases
- Transitie sturen van batch-OSS-telemetrie naar real-time streamingarchitecturen
- Ondersteunen bij AI-kostenmodellering, schaalbaarheid en herbruikbare ontwerpprincipes
- Telecomoperationele processen vertalen naar AI-ready requirements
Wat verwachten wij?
- Sterke telecom- en OSS-achtergrond met genoemde domeinervaring
- Ervaring met AI- en ML-technologieën en frameworks
- Inzicht in realtime telemetry en streamingtechnologieën
- Ervaring met enterprise-architectuur en systeemintegratie
Volledige vacaturetekst
Stap in de wereld van AI-gedreven automatisering bij een toonaangevende telecomoperator die de transitie naar Level 4 autonome netwerken maakt. Als AI en Telco Architect sla je de brug tussen OSS-architectuur en moderne AI-toepassingen zoals Generative AI en streaming telemetry. Je krijgt de unieke kans om grootschalige transformaties vorm te geven in een hybride werkomgeving. Ontdek hoe jij de toekomst van telecomintelligence bepaalt en reageer direct op deze uitdagende positie!
Location: Netherlands (Hybrid)
Employment Type: Contract / Freelance / Permanent
About the CompanyOur client is a leading telecommunications operator undergoing a major transformation toward AI-driven automation and autonomous networks. As part of a multi-year strategy focused on operational efficiency, OSS modernization, and real-time network intelligence, the organization is investing heavily in AI enablement, streaming telemetry, and closed-loop automation capabilities.
The RoleWe are seeking an experienced AI & Telco Architect to bridge the gap between telecom network operations and modern AI capabilities.
This role requires someone who understands both OSS/network architecture and AI technologies, and can translate operational telecom challenges into scalable AI-driven solutions. You will work closely with architecture, AI, and network operations teams to help move the organization from Level 2 to Level 4 on the TM Forum Autonomous Network maturity model.
Key Responsibilities- Define AI integration architecture across OSS domains including assurance, fulfillment, inventory, and performance management
- Advise on the use of predictive AI, generative AI, and agentic AI frameworks for telecom use cases
- Drive the transition from batch-based OSS telemetry to real-time streaming architectures
- Support AI cost modeling, scalability, and reusable design principles
- Translate telecom operational processes into AI-ready requirements
- Support business cases focused on automation, Opex reduction, and operational efficiency
- Act as a bridge between network engineers, architects, data teams, and business stakeholders
Essential
- Strong telecom / OSS background with experience in:
- Assurance
- Fulfillment
- Inventory
- Fault management
- Capacity planning
- Experience with AI/ML technologies and frameworks
- Understanding of real-time telemetry and streaming technologies (Kafka, gNMI, OpenTelemetry)
- Enterprise architecture and integration experience
- Strong stakeholder communication and business-facing skills
- TM Forum Autonomous Networks experience
- 5G SA / Network Slicing knowledge
- Data Mesh exposure
- Experience with LangChain, CrewAI, AutoGPT, or similar frameworks
- Familiarity with major OSS platforms (Ericsson, Nokia, Netcracker, Comarch)
This is an opportunity to work on a large-scale AI and network automation transformation within a leading telecom operator. You will play a key role in enabling real-time, autonomous network operations and shaping the future architecture of telecom AI integration.
Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.
Waar je gaat werken
About the CompanyOur client is a leading telecommunications operator undergoing a major transformation toward AI-driven automation and autonomous networks. As part of a multi-year strategy focused on operational efficiency, OSS modernization, and real-time network intelligence, the organization is investing heavily in AI enablement, streaming telemetry, and closed-loop automation capabilities.
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