Lead Data & AI Architect

Lead Data & AI Architect - AWS - Agentic AI - Decision Intelligence - Fully Remote (UK) - Up to £110,000 + Bonus We're partnering with an innovative AI software business that is helping enterprise organisations transform complex data into trusted, decision-grade intelligence.

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.

We're looking for a Lead Data & AI Architect to help solve that challenge. 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.

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