Senior AI Engineer

Gazelle Global Consulting Limited; Greater London; Hybrid; GBP 111,000 - 166,000; Full time

Benefits offered by this job

Hybrid working

Job summary

Gazelle Global Consulting Limited in London seeks a Senior AI Engineer to lead the development of advanced AI solutions within a major UK retail transformation programme. You will shape production-ready agentic AI systems, combining intelligent automation with scalable cloud technology.

You’ll own AI architecture and implementation, design multi-agent workflows, RAG solutions and AI microservices, collaborating with architects and product teams to deliver secure, reliable AI applications for

Qualifications

• Senior AI Engineer responsible for architecture and production deployment.
• Experience turning business requirements into secure AI applications with governance.

Responsibilities

• Lead development of advanced AI solutions for a UK retail programme.
• Design multi-agent workflows and RAG architectures.
• Build AI microservices and scalable cloud integrations.
• Collaborate with architects and product teams to deliver production-ready systems.

Skills

Python

Azure OpenAI

Semantic Kernel

LangGraph

MCP

Tool integration

Azure AI Search

RAG architecture

Multi-agent systems

Vector databases

Embeddings

Semantic search

REST APIs

Docker

Kubernetes

MLOps

AI governance

Tools

Semantic Kernel

LangGraph

Azure OpenAI

Azure AI Foundry

Azure AI Search

Docker

Kubernetes

Job description

We're looking for a Senior AI Engineer to lead the development of advanced AI solutions within a major UK retail transformation programme. This is an exciting opportunity to shape production-ready agentic AI systems, combining intelligent automation with scalable cloud technology.

You’ll take ownership of AI architecture and implementation, designing multi-agent workflows, retrieval-augmented generation (RAG) solutions and AI microservices. Working closely with architects and product teams, you’ll turn business requirements into secure, reliable AI applications, with a focus on performance, governance and production deployment.

Key Skills:

• Strong Python development skills
• Azure OpenAI and Azure AI Foundry
• Semantic Kernel and LangGraph
• Model Context Protocol (MCP) and tool integration
• Azure AI Search and RAG architecture
• Multi-agent systems and orchestration workflows
• Vector databases, embeddings and semantic search
• Event-driven architectures and REST APIs
• Docker, Kubernetes and AI microservices
• MLOps/LLMOps, AI governance and production troubleshooting

Location: London, UK - hybrid working, with one day per week in the office.

Contract: 12 months, with an excellent day rate available.