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Software architect

Slough
SearchWorks
Software architect
Posted: 28 April
Offer description

Principal AI Architect – GenAI / Enterprise AI Platform

Location: London (Hybrid)

Hands-on Principal Role | Build, Scale & Own Production AI Systems


Our client is a globally recognized enterprise software company investing heavily in next-generation AI and decision intelligence platforms used by major international organisations.

This is a principal-level, hands-on architecture role for someone who wants to go beyond strategy. You’ll design, build, and scale production-grade AI systems embedded directly into a live enterprise product.

You’ll play a key role in shaping how LLMs, Generative AI, and agentic systems are applied at real-world scale.


What You’ll Be Doing

* Defining and delivering end-to-end architecture for GenAI capabilities
* Designing and building agentic AI systems (reasoning, orchestration, multi-step workflows)
* Architecting LLM-powered applications (RAG, vector search, semantic layers)
* Building and scaling AI systems in production (performance, reliability, observability)
* Driving architecture across distributed systems, APIs, and AI platforms
* Establishing best practices for evaluation, guardrails, and monitoring
* Staying hands-on with implementation - not a pure design role



What They’re Looking For

* Proven experience designing and shipping production AI/ML systems in enterprise environments
* Strong expertise in LLMs, Generative AI, and modern AI application design
* Hands-on experience with RAG, LangChain, LlamaIndex, Bedrock, Azure OpenAI, or similar
* Strong Python and/or Java engineering background
* Deep understanding of distributed systems and scalable architecture
* Experience owning systems end-to-end (design → build → scale → operate)
* Ability to connect technical decisions to business impact


What Sets This Role Apart

* Real ownership of production AI systems, not just architecture on paper
* Opportunity to build and scale AI within a global SaaS platform
* Direct influence on product direction and AI strategy
* Strong engineering-first, delivery-focused culture

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