AI Engineer, VP

About this role

Join us as a AI Engineer :

• Build and lead a team that ships production generative and agentic AI systems used by millions of customers and colleagues — solving problems that don't yet have a playbook
• Combine strong people leadership with deep, hands-on technical expertise, staying close to the detail while building a high-performing, engaged, and continuously improving team
• Have the autonomy to choose the right tools, frontier models, and architectures for the job, and the scale to see your work make a real-world impact
• We are offering this role at vice president level

What you'll do

• Lead and line-manage a team of AI engineers: setting objectives, managing performance, coaching and developing careers, and building an inclusive, high-trust culture
• Own the technical vision and roadmap for the team's AI systems, and make the architectural decisions that shape how we build, evaluate, and safely operate LLM-powered applications
• Stay hands-on, contributing to design, code, and reviews, and setting the bar for engineering quality across multi-agent workflows, Retrieval-Augmented Generation (RAG) pipelines, and LLM integrations
• Design agent-to-agent communication frameworks, including structured messaging, shared state, coordination protocols, and failure handling
• Architect and optimise RAG pipelines, covering document chunking, embedding generation, vector storage, retrieval evaluation, ranking, and freshness handling
• Design and own the data pipelines that feed AI systems — ingestion, transformation, and feature/embedding preparation — built for reliability, data quality, and lineage
• Build and operate orchestrated, scheduled workflows using tools such as Apache Airflow, with monitoring, retries, and clear failure handling
• Leverage cloud data platforms such as Snowflake (alongside AWS data services) for scalable storage, transformation, and analytics that underpin AI and ML workloads
• Establish guardrails, observability, and safety mechanisms...