AI Network Architect-Telecoms
Summary
Zinkworks is hiring an AI Network Architect to define the AI technology roadmap and lead delivery of Generative AI, Agentic AI, RAG and Network Digital Twin solutions for fixed-line telecom OSS platforms. The role centers on LLM/agent architecture on Google Cloud, plus Python, Kubernetes and multi-vendor delivery leadership.
About Zinkworks
Zinkworks partners with leading Telecommunications and Financial Services organizations to modernize legacy systems, migrate mission-critical platforms to the cloud, and engineer AI-driven automation. From OSS transformation to rApp development and network intelligence, our teams simplify complexity and turn it into competitive advantage. Based in Ireland and operating across the EU, UK, and US, Zinkworks combines deep domain expertise with delivery excellence to help clients modernize faster and operate smarter.
Overview
In this role you will define and drive the technical strategy, architecture, design and delivery of AI-enabled solutions across the Fixed Network domain. The role will lead the adoption of Generative AI, Agentic AI, Network Digital Twin, automation and data-driven decision intelligence to modernize OSS platforms, improve operational efficiency and support increasingly autonomous network operations.
Key Responsibilities
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.
Must Haves
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.
Nice to have
Fixed Domain Network experience
Experience with Network Digital Twins, graph technologies, knowledge graphs and vector databases.
Hands-on experience with Vertex AI, Gemini, Microsoft Copilot, Open AI, Anthropic Claude or comparable AI platforms.
Knowledge of MLOps, model governance, evaluation and production monitoring.
Inclusion & Diversity at Zinkworks
At Zinkworks, we are deeply committed to fostering a culture of diversity, inclusion, and belonging. We believe that our strength lies in the unique backgrounds, perspectives, and experiences of our team members. By embracing an inclusive environment, we empower innovation and collaboration across all levels of our organisation. Based in Ireland, we are proud to support and engage with our local communities through meaningful initiatives that promote equity and opportunity. Our commitment extends beyond the workplace, as we actively contribute to creating a more inclusive and connected society for all.