AI Delivery Architect

Vallum Associates

Greater London

Hybrid

GBP 120,000 - 180,000

Full time

2 days ago
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Job summary

Vallum Associates in London is seeking an experienced AI Delivery Architect to lead the design and delivery of enterprise-scale AI solutions in a hybrid work model. The role combines hands-on architecture with guiding engineering teams to produce production-ready AI systems.

This position requires expertise in GenAI, LLMs, RAG, and AI governance, with strong cloud, data, security and integration capabilities across large enterprises.

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.
  • Proven track record delivering production-grade AI solutions.

Responsibilities

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

Skills

Enterprise Architecture
GenAI governance
LLMs & Context Engineering
Cloud & Kubernetes
MLOps/LLMOps
APIs & Integrations

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.

Location: London, UK (Hybrid - 2 days onsite per week)

Employment Type: permanent

  • 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

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

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