Principal AI Architect & Systems Lead (Hybrid London)

Dex; Greater London; Hybrid; GBP 110.000 - 170.000; Vollzeit

Zusammenfassung

Dex collaborates with a trusted partner to recruit a Principal Product Engineer in London. The role sets technical strategy for the engineering organisation, untangles cross-team risks, and stays hands-on with high-leverage production code shipped multiple times a day.

The position anchors the technical direction as AI capabilities are embedded in the core product, while mentoring senior engineers and shaping pragmatic roadmaps with executives.

Qualifikationen

• Proven track record defining architecture and technical strategy across multiple squads, not just an isolated team.
• Deep full-stack engineering foundations with experience scaling high-throughput production systems.
• Strong commercial and product instinct with ability to translate constraints into business decisions.
• Active technical fluency with AI and integrating model capabilities into product engineering.
• Ability to work in a hybrid capacity from central London.

Aufgaben

• Set the overarching technical architecture and engineering standards as AI capabilities are embedded across the core product.
• Identify and resolve systemic architectural risks, bottlenecks, and dependencies between squads.
• Write and deploy critical systems that scale globally, shipping to more than 100,000 active users daily.
• Partner with executive and cross-functional leadership to turn business goals into pragmatic technical roadmaps.
• Mentor senior engineers through system design reviews and hands-on pairing.

Kenntnisse

Architecture strategy

Full-stack engineering

Product instinct

AI capability

Hybrid work

Jobbeschreibung

Dex collaborates with a trusted partner to recruit a Principal Product Engineer in London. The role sets technical strategy for the engineering organisation, untangles cross-team risks, and stays hands-on with high-leverage production code shipped multiple times a day.

The position anchors the technical direction as AI capabilities are embedded in the core product, while mentoring senior engineers and shaping pragmatic roadmaps with executives.