AI Architect, .NET Developer

Jobtailor; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Jobtailor in London is seeking an experienced AI Architect to design and govern end-to-end GenAI architectures within the Azure ecosystem. You will lead initiatives to enable intelligent automation and decision support across insurance functions, building secure, production-grade platforms.

You will define architectural patterns, partner with business and technology stakeholders, and establish evaluation frameworks to ensure scalable, enterprise-grade AI solutions that unlock value across the

Qualifications

• Experience designing enterprise AI architectures on Azure.
• Proficiency in .NET and React for full-stack delivery.
• Hands-on with Azure OpenAI APIs and enterprise LLM platforms.

Responsibilities

• Design end-to-end AI architectures within Azure ecosystem.
• Lead implementation teams and collaborate with stakeholders.
• Establish evaluation frameworks for GenAI solutions.

Skills

.NET

React

Azure OpenAI

API-first design

Microservices

AI integration

Azure AI

Vector databases

Prompt engineering

RAG architectures

Tools

Azure

LLM platforms

Job description

• Designing and governing end to end AI architectures on Azure ecosystem
• Enabling intelligent automation and decision support across insurance functions
• Building scalable, secure, and production grade GenAI platforms
• Defining architectural patterns and leading implementation teams
• Partnering with business and technology stakeholders for AI solutions
• Establishing evaluation frameworks for GenAI solutions

Requirements

• Strong proficiency in .NET and React
• Azure OpenAI APIs / enterprise LLM platforms experience
• API-first design
• Microservices-based architectures
• Experience integrating AI solutions into enterprise systems
• .NET (Backend) and React (Frontend) development experience
• Azure AI / Azure AI Foundry experience
• Vector Databases using Azure AI search
• Prompt Engineering & LLM Design competencies
• Retrieval Augmented Generation (RAG) Architectures.

Core Competencies

Demonstrates expertise in designing and governing AI architectures within the Azure ecosystem, with a strong focus on building scalable GenAI platforms and integrating AI solutions into enterprise systems. Proficient in leading implementation teams and collaborating with stakeholders to deliver intelligent automation across insurance functions.

Highest-signal resume keywords

• Strong Proficiency In .NET
• Strong Proficiency In React
• Azure OpenAI APIs Experience
• Microservices-Based Architectures
• Prompt Engineering & LLM Design

ATS Optimization Keywords

Hard Skills

• .NET
• React
• API-First Design
• Azure AI
• Azure AI Foundry
• Vector Databases
• Retrieval Augmented Generation Architectures
• GenAI Platforms
• AI Integration
• Architectural Patterns

Industry Keywords

• Insurance Functions
• Evaluation Frameworks
• End To End AI Architectures
• Scalable Solutions
• Production Grade Platforms

Tools & Technologies

• Azure Ecosystem
• Enterprise LLM Platforms
• Intelligent Automation
• Decision Support Systems