Ai architect

About the Role
Zinkworks builds software and AI solutions for large telco operators, extending our Autonomous Networks portfolio. We are hiring an AI Architect to lead AI strategy and architecture for this portfolio as part of the Product Direction Team.
Key Responsibilities

Define and own the AI strategy for the Autonomous Networks product portfolio.
Shape the AI roadmap, ensuring the right capabilities are delivered at the right time and to the highest standards.
Establish AI quality frameworks, evaluation methodologies, and governance standards across products and AI agents.
Define best practices for agentic AI systems, LLM-powered applications, retrieval systems, and AI-driven automation.
Partner with Product, Engineering, and Solution Architecture teams to ensure AI initiatives align with business objectives and customer needs.
Act as the senior technical AI advisor during customer engagements, supporting pre-sales and solution discussions.
Develop and maintain AI use cases, reference architectures, and innovation initiatives in collaboration with commercial teams.
Represent Zinkworks at industry conferences, customer events, research forums, and partner engagements.
Build relationships with universities, research institutions, technology partners, and industry bodies.
Stay at the forefront of AI advancements and identify opportunities to incorporate emerging technologies into the product portfolio.

Essential Skills & Experience

10+ years of experience in software engineering, AI, machine learning, or related technical disciplines.
Proven experience delivering AI solutions into production environments at scale.
Deep understanding of modern AI technologies and architectures.
Hands‑on experience with:

Large Language Models (LLMs)
Agentic AI systems and multi‑agent architectures
Retrieval‑Augmented Generation (RAG)
AI evaluation and observability frameworks
Prompt engineering and AI system optimisation
MLOps and AI deployment patterns
Cloud‑native AI platforms and services

Strong architectural and systems design expertise.
Ability to define technical strategy and influence senior stakeholders.
Experience engaging directly with customers and translating complex AI concepts into business value.
Excellent communication and presentation skills.
Demonstrated thought leadership through publications, conference speaking, community engagement, or industry contributions.

Desirable

Experience within Telecommunications, OSS/BSS, Network Operations, or Autonomous Networks.
Familiarity with TM Forum Autonomous Networks frameworks and industry initiatives.
Experience with Google Cloud Platform (GCP).
Experience with agent frameworks such as Google ADK, LangGraph, CrewAI, AutoGen, or similar technologies.
Experience collaborating with academic or research institutions.
Knowledge of network automation, analytics, or network intelligence platforms.

Technologies & Ecosystem

Large Language Models (LLMs)
Agentic AI and Multi‑Agent Systems
Google Cloud Platform (GCP)
Google ADK
Vector Databases and Retrieval Systems
AI Evaluation and Observability Platforms
Machine Learning and MLOps Tooling
Cloud‑Native Software Architectures

Inclusion & Diversity 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.
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