Lead Data AI Engineer - Remote (London 1x/wk)

BrightBox Group; United States; Hybrid; USD 137.000 - 185.000; Teilzeit

Zusammenfassung

BrightBox Group is seeking a Data AI Engineer to drive the design and implementation of enterprise-grade data and AI solutions. The role blends data engineering and AI to deliver cutting-edge capabilities that support strategic business goals.

You will lead the development of scalable architectures and AI models, collaborate across teams, and communicate complex concepts clearly while working largely remotely with a London-based pattern (one day on-site per week).

Qualifikationen

• Proven experience in enterprise data and AI architecture.
• Expertise in advanced AI engineering and agentic AI technologies.
• Strong background in deep data engineering and distributed systems.
• Ability to apply systems thinking and an innovation mindset to solve complex challenges.
• Demonstrated technical leadership and the ability to effectively influence stakeholders.
• Excellent communication and collaboration skills.

Aufgaben

• Design and implement enterprise-level data and AI architecture to support business goals.
• Develop and optimise advanced AI engineering models and agentic AI systems.
• Lead deep data engineering projects, including building and managing distributed systems.
• Apply systems thinking to analyse complex problems and deliver creative solutions.
• Provide technical leadership and influence cross-functional teams to align on strategic initiatives.

Kenntnisse

Data AI architecture

Advanced AI engineering

Distributed systems

Systems thinking

Technical leadership

Communication skills

Agentic AI

Tools

Agentic AI

Jobbeschreibung

BrightBox Group is seeking a Data AI Engineer to drive the design and implementation of enterprise-grade data and AI solutions. The role blends data engineering and AI to deliver cutting-edge capabilities that support strategic business goals.

You will lead the development of scalable architectures and AI models, collaborate across teams, and communicate complex concepts clearly while working largely remotely with a London-based pattern (one day on-site per week).