Grip

AI Engineer

• Own the architecture of Grip's platform-wide data and AI infrastructure — from how event data is captured and modelled, to how it's stored, governed and served to downstream consumers including search, recommendations, analytics, and AI agents.
• You'll set the standards that squads build against, and you'll directly build the shared infrastructure that no single squad owns.
• Own platform-wide data architecture: capture standards, data modelling, storage strategy, and serving layers used across the organisation
• Design and build the data infrastructure powering analytics, search, recommendations, and AI/agentic features
• Build and scale data pipelines handling high-volume event interaction data across the platform — both batch and streaming — with reliability and low latency at the core
• Own the data layer that underpins Grip's Agentic products, ensuring agents and MCP-based tools have access to clean, well-modelled, real-time data
• Define data contracts and standards that product squads (Engage, Manage) build against, working as a technical peer to their Principal / Senior Engineers.
• Establish data quality, governance and lineage standards across the organisation, including PII handling in line with GDPR
• Drive the technical strategy for how Grip captures and governs new categories of data (e.g. smart badge telemetry, location/proximity signals) in a privacy-compliant, lawful-basis-aware way
• Build observability into data systems — structured logging, freshness and quality monitoring, SLOs, and pipeline health dashboards
• Champion high-quality technical communication: proposals, specifications, and documentation that other teams can build on
• Mentor engineers across the organisation on data architecture and AI infrastructure best practices

Principal AI Engineer