Job at a glance
Ready to build the AI engine behind the world's largest jewellery brand? As Lead AI Platform Engineer, you will be the technical force behind Pandora's AI platform, shaping how AI systems are built, scaled, and secured across the business. Combining deep hands-on engineering expertise with strong technical leadership, you will drive architectural excellence, elevate engineering standards, and deliver reliable, production-ready AI solutions at scale.
Your Key Responsibilities Will Be To Technical Leadership Serve as the technical lead for the AI platform engineering team - setting the implementation direction, defining coding standards, and making key technical decisions that govern how the platform is built and evolved. Lead code reviews and drive architecture discussions, ensuring engineering decisions are well-reasoned, documented, and aligned with the broader platform strategy - championing engineering standards across code quality, testing practices, documentation, observability, and security hardening.
Act as a technical mentor and go-to resource for all engineers - sharing knowledge, unblocking complex problems, and actively investing in the technical growth of both senior and junior team members. Platform Engineering & AI Infrastructure Design, build, and operate scalable, high-performance services and platform components that expose AI/ML capabilities across Pandora's digital ecosystem. Own and define the standards and governance for Terraform-based Infrastructure as Code (IaC) - ensuring all Azure infrastructure is reproducible, auditable, and securely configured.
Apply strong network architecture knowledge to design and govern secure connectivity between platform services, AI gateways, and external integrations, including VNet, private endpoints, NSGs, and ingress/egress controls, while collaborating with security stakeholders to uphold the platform's overall security posture. Leverage Databricks for big data processing, feature engineering, and ML pipeline support.
AI Services & Agentic Development Integrate and operationalise AI services including LLM APIs, vector search, RAG pipelines, embeddings, and multi-layer caching into platform-level services. Lead the agentic code development practice: architecting autonomous execution loops that enable tools like Claude Code and GitHub Copilot to safely write, test, and self-correct software within isolated sandboxes.
Own MLflow governance standards for experiment tracking, model versioning, and ML lifecycle management across the team. Configure and manage AI gateways to ensure secure, scalable, and governed access to AI capabilities at production scale. CI/CD & Reliability Define and govern the CI/CD standards for the AI platform team - establishing quality gates, testing frameworks, deployment patterns, and pipeline architecture that all engineers build to.
Ensure performance, availability, and maintainability of platform services in production; handle incidents in a timely manner to minimise Mean Time to Contain (MTTC)., You will be part of Pandora's AI Platform team within AI CoE at Digital & Analytics & AI - a passionate, forward-thinking group dedicated to building the infrastructure and services that bring AI to life across the business.
The team works at the intersection of data science, machine learning, cloud engineering, and product development, collaborating closely with ML Engineers, Data Scientists, AI Architects, and Product stakeholders. You will report to the AI Platform Manager and serve as the senior technical voice that shapes how the platform is designed, secured, and evolved - influencing both what gets built and how it gets built.
Relevant background from Computer Science, Computer Engineering, or a related field with experience in backend or platform engineering, with at least 2 years operating in a technical leadership capacity within AI or cloud-native platform teams. Proven experience building and operating AI/ML platform services or LLM-based