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Zinkworks

AI Network Tech Lead – Telecoms

Zinkworks

. Define, own and execute the AI technology roadmap for Fixed Network platforms .

Posted 9/15/2026full-timeAthlone • IrelandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and executing AI technology roadmaps, particularly in Fixed Network platforms, while leading technical delivery of Generative AI and data intelligence initiatives. Proficient in managing complex technical challenges and guiding multi-vendor teams in a large-scale Telecoms environment.

Highest-signal resume keywords
Generative AI Solutions DeliveryGoogle Cloud Platform ExperiencePython ProgrammingDevSecOps and CI/CDNetwork Digital Twin Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Generative AILarge Language ModelAgentic AIRetrieval-Augmented GenerationPythonAPIsMicroservicesEvent-Driven ArchitecturesMLOpsModel Governance
Soft Skills
Technical LeadershipProblem SolvingCollaboration
Tools & Technologies
Google Cloud PlatformKubernetesVertex AIMicrosoft CopilotOpenAIAnthropic Claude
Industry Keywords
TelecomsFixed NetworkDigital TwinGraph TechnologiesVector Databases

Tech Stack

Tools & technologies
CloudGoogle Cloud PlatformKubernetesMicroservicesPython

About the role

Key responsibilities & impact
  • Define, own and execute the AI technology roadmap for Fixed Network platforms
  • Lead the technical delivery of Generative AI, Agentic AI, Digital Twin and data intelligence initiatives
  • Identify and prioritize opportunities to automate network planning, design, build, provisioning, assurance and operations
  • Define AI reference architectures, design patterns, reusable components and engineering standards
  • Establish scalable capabilities for retrieval-augmented generation, vector databases, large language model integration, agent orchestration, knowledge graphs and model lifecycle management
  • Guide the evolution of Fixed Network Digital Twin capabilities, including physical and logical topology, federated inventory, simulation and closed-loop automation
  • Provide technical leadership to internal engineering teams, delivery partners and suppliers
  • Resolve complex technical challenges, manage dependencies and remove delivery blockers
  • Enable the use of network inventory, topology, performance, fault, assurance and operational datasets in AI solutions

Requirements

What you’ll need
  • Significant experience as a Technical Lead, Solution Architect, Principal Engineer or equivalent in a large-scale Telecoms enterprise environment
  • Strong experience delivering Generative AI, large language model, Agentic AI, retrieval-augmented generation or AI orchestration solutions
  • Extensive working experience with Google Cloud Platform
  • Experience with Python, APIs, microservices and event-driven architectures
  • Experience with DevSecOps, CI/CD, containers, Kubernetes and platform engineering
  • Proven experience leading multi-vendor technical delivery teams and governing complex programmes
  • Fixed Domain Network experience (nice to have)
  • Experience with Network Digital Twins, graph technologies, knowledge graphs and vector databases (nice to have)
  • Hands-on experience with Vertex AI, Gemini, Microsoft Copilot, OpenAI, Anthropic Claude or comparable AI platforms (nice to have)
  • Knowledge of MLOps, model governance, evaluation and production monitoring (nice to have)

Benefits

Comp & perks
  • Cookie consent and cookie preference management are provided by the website (not an employment benefit)
  • Commitment to diversity, inclusion, and belonging
  • Support for and engagement with local communities through initiatives promoting equity and opportunity