infrastructure
Posted YesterdayEngineering Manager, AI Models Infrastructure
at Intercom
London, United KingdomHybrid
Responsibilities
- Lead a high-performing team building the platform and infrastructure that power Fin's AI capabilities.
- Support teams of ML Scientists and Engineers building AI powered capabilities .
- Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation.
Requirements
- Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
- Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce.
- Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration.
- Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
- Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better.
- Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
- We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group .
- The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Fin's own AI models.
- experience in AI, and the appetite to continually invest in deepening your technical knowledge.
- Learn more about Fin's engineering culture at intercom.engineering , and more about Fin at fin.ai .
- Expand your scope over time , potentially taking ownership of additional platform domains as the team and AI initiatives grow. What skills do I need? •
- Experience training ML models and operating them in production, at scale. •
- Experience leading infra or platform teams.
- Strong prior experience working as an engineer.
- Curiosity and enthusiasm for AI. Benefits