Staff AI Engineer

STAFF AI ENGINEER £200,000 LONDON

This is a rare opportunity to join a rapidly scaling, PE-backed data platform business and take ownership of building a next-generation AI-native data layer. Working directly with the Group CTO, you'll play a pivotal role in shaping both the technical direction and the future of their global data products.

THE COMPANY

This organisation is a global leader in B2B data and business intelligence, operating across 200+ countries and supporting industries such as fintech, compliance, and fraud prevention. Backed by private equity, the business is growing quickly through acquisitions and is building a unified data platform across multiple entities.

This role sits at the heart of that transformation, offering the chance to influence platform architecture, drive AI adoption, and help scale a high-growth international business.

THE ROLE

Architect and deliver a centralised, AI-native data platform across multiple global datasets

Build and scale high-performance data pipelines, APIs, and data services

Deploy AI and automation to improve data quality, enrichment, and verification

Work closely with the CTO on technical strategy, roadmap, and execution

Lead technical due diligence on acquisitions and own post-acquisition integration plans

Engage with senior leadership and investors, presenting architecture and strategy

Start as a hands-on individual contributor with scope to build and lead a team

YOUR SKILLS AND EXPERIENCE

10+ years building production-grade systems at scale

Background as a Staff/Principal Engineer, senior IC, or technical leader in a high-growth environment

Strong hands-on coding skills in Python, SQL, and TypeScript

Experience building large-scale data platforms, APIs, and distributed systems

Proven ability to operate across architecture, delivery, and executive-level communication

Desirable: experience with AI/LLM systems, data enrichment, B2B data products, or hybrid infrastructure environments

SALARY AND BENEFITS

£150,000 - £200,000 base salary

Discretionary bonus

Pension scheme

Hybrid working model

Potential for future equity participation

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the 'Apply' link.