Lead Data & AI Architect

As organisations accelerate their adoption of Generative AI and Agentic AI, the challenge is no longer simply accessing data. The challenge is ensuring that AI systems can consume trusted, governed and observable data that delivers reliable outcomes., This is an opportunity for someone who enjoys operating beyond traditional data engineering. You’ll combine architecture, technical leadership, customer engagement and AI strategy to help shape both customer outcomes and platform direction.

The Opportunity

You’ll play a critical role in helping enterprise customers build the foundations required for modern analytics, AI and decision intelligence.

Working closely with customers, product teams and technical stakeholders, you’ll help define how trusted data is structured, governed and exposed to support AI-powered applications and business decision-making.

This role combines:

• Data Platform Architecture
• AWS Cloud Engineering
• AI & Agentic AI Enablement
• Data Governance & Observability
• Customer-Facing Technical Leadership
• Solution Design & Technical Strategy

You’ll be expected to engage stakeholders, shape technical direction and act as a trusted advisor on complex data and AI challenges.

What You’ll Be Doing

Design AI-Ready Data Foundations

Design and evolve modern AWS-based data architectures that support analytics, machine learning and AI-powered applications.

Help Customers Operationalise AI

Work directly with enterprise customers to solve the governance, quality, observability and trust challenges that emerge when AI systems move from experimentation into production.

Shape Data & AI Strategy

Influence architecture decisions, technical standards and best practices across data engineering, analytics and AI initiatives.

Champion Trusted Data

Establish approaches for data quality, lineage, governance and observability that enable organisations to trust the outputs generated by AI and decision intelligence platforms.

Act as a Trusted Technical Advisor

Partner with technical and non-technical stakeholders to understand challenges, define solutions and guide successful delivery.

Drive Technical Excellence

Promote modern engineering practices across architecture, security, governance, platform reliability and cloud-native development., * Like solving complex technical problems rather than maintaining legacy systems.

• Enjoy working directly with customers and stakeholders.
• Want to influence technical strategy rather than simply execute against it.
• Have strong opinions on data quality, governance and trust.
• Are excited by the challenge of helping organisations operationalise AI responsibly.
• Want to play a meaningful role in both platform evolution and customer success.

If you’re looking for an opportunity that combines the technical depth of architecture, the variety of consulting, and the opportunity to influence how organisations adopt AI, we’d love to hear from you.

Essential Experience

• Experience designing and delivering production-grade cloud data platforms.
• Strong AWS architecture and engineering expertise.
• Deep understanding of data modelling, SQL and modern data architectures.
• Experience defining technical strategy and influencing architectural decisions.
• Strong stakeholder engagement and communication skills.
• Experience working with data governance, lineage, observability and data quality frameworks.
• Ability to translate complex technical concepts into meaningful business outcomes.
• Experience working with large-scale or business-critical data environments.

Technology Environment

• AWS
• Python
• SQL
• Cloud-Native Data Platforms
• APIs & Data Services
• Analytics Engineering
• Data Governance & Observability
• Machine Learning Infrastructure
• Generative AI & Agentic Systems
• Modern Data Architecture Patterns, * Lead Data & AI Architect - AWS - Agentic AI - Decision Intelligence - Fully Remote (UK)

• Competitive salary up to £110,000
• Performance-related bonus
• High levels of ownership and autonomy
• Significant influence over platform and product direction
• Opportunity to help shape the future of AI and decision intelligence
• Work directly with senior technical and business stakeholders
• Clear progression into broader technical leadership responsibilities