AI Delivery Architect

Vallum Associates; City Of London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Vallum Associates in London is seeking an experienced AI Delivery Architect to lead the design and delivery of enterprise-scale AI solutions. This hands-on role translates business requirements into production-ready AI systems while guiding engineering teams across AI, data, cloud, security, and integration domains.

You will work on large-scale AI transformation programmes within a complex enterprise, delivering production-grade solutions with strong governance and scalable architectures.

Qualifications

• Strong background in Solution/Enterprise Architecture.
• Expertise in GenAI, Agentic AI, RAG, LLMs, Context Engineering & AI Governance.
• Experience with cloud platforms (AWS/Azure/GCP), Kubernetes, APIs, MLOps/LLMOps, and enterprise integrations.

Responsibilities

• Lead the design and delivery of enterprise-scale AI solutions.
• Translate business requirements into production-ready AI systems.
• Guide engineering teams across AI, data, cloud, security and integration domains to ensure successful implementation.
• Drive large-scale AI transformation programmes within a complex enterprise.

Skills

Solution Architecture

Enterprise Architecture

GenAI

LLMs

MLOps/LLMOps

Kubernetes

APIs

AI Governance

Tools

AWS

Azure

GCP

Job description

AI Delivery Architect | London, UK (Hybrid) | permanent

We're hiring an experienced AI Delivery Architect to lead the design and delivery of enterprise-scale AI solutions. This is a hands-on architecture role focused on translating business requirements into production-ready AI systems, guiding engineering teams, and ensuring successful implementation across AI, data, cloud, security, and integration domains.

This is an excellent opportunity to work on large-scale AI transformation programmes within a complex enterprise environment.

• Strong background in Solution/Enterprise Architecture
• Expertise in GenAI, Agentic AI, RAG, LLMs, Context Engineering & AI Governance
• Experience with cloud platforms (AWS/Azure/GCP), Kubernetes, APIs, MLOps/LLMOps, and enterprise integrations
• Proven track record delivering production-grade AI solutions