National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Agentic Artificial Intelligence Solution Architect

GenAirate Technologies Ltd
London
1 month ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

AI Engineer- 6 month contracting opportunity (Nanking/ Insurance Experience)

Business Impact with Artificial Intelligence – Level 4 Professional Development Expert

Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI

Senior Gen AI Specialist - Microsoft Copilot ecosystem


Agentic AI Architect – Full Stack (AWS / GenAI / MCP)


LOCATION:  London or Remote (UK/EU preferred)

TYPE:Freelance | Contract | Option for equity/incentives

COMPANY:Join GenAirate Technologies – a leading AI-first Insurtech start-up




About the Role


GenAirate Technologies is looking for a hands-on Agentic AI Architect with full stack capabilities to help design and deliver agentic workflows that improve accuracy and performance in underwriting automation. This is a strategic hire, working closely with the Product Manager and engineering team to build AI-native tools using AWSLLM orchestration frameworks, and the Model Context Protocol (MCP).


You’ll be driving document extraction and structured data pipelines using multi-agent systems for property submissions — and shaping how we apply GenAI in complex, high-value business use cases.




What You’ll Do


  • Design and implement agentic architecture for SnapLine, our AI-powered underwriting assistant
  • Build and orchestrate workflows using frameworks like CrewAILangGraph, or similar
  • Leverage MCP principles to manage agent collaboration, memory, and tool-use
  • Integrate with AWS services (Bedrock, Lambda, Step Functions, DynamoDB, etc.)
  • Collaborate with full-stack engineers and SMEs to increase document processing accuracy
  • Support performance tuning and continuous feedback loops to reduce hallucinations
  • Participate in roadmap and feature planning with the product team




What We’re Looking For


  • Proven experience with agentic AI, multi-agent frameworks, or LLM orchestration
  • Full stack engineering skills (Python/Node.js preferred) with solid AWS experience
  • Experience with document parsing, unstructured data ingestion, and vector search
  • Understanding of embedding models, RAG pipelines, and semantic search
  • Knowledge of COPE, TIV, deductibles, risk scoring, or insurance use cases is a plus
  • Comfortable working in a startup, delivering fast with autonomy
  • Based in the UK or Europe, with excellent written and spoken English



What We Offer


  • Contract or project-based engagement with competitive day rate
  • Share options or performance-based incentives available
  • Ability to define core architecture for a growing platform
  • Exposure to live AWS workloads and enterprise-grade partners
  • High-trust, fast-paced working culture


National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.