AI Systems Architect - Studio Co-Founder
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Job description
Role: Senior AI EngineerLocation: Remote (UK-based)Type: Full-time, permanentCompensation: Competitive salary + equity availableAbout VeridoxVeridox detects fraud in documents and images submitted to insurance companies, airlines, and financial institutions. When someone submits a receipt, ID document, or damage photograph, our platform determines whether it's genuine, tampered with, or AI-generated and explains why.Under the hood, we're replacing brittle, hand-wired pipelines with multi-agent AI that reasons more like a human forensic analyst: pulling signals from multiple tools, weighing messy, conflicting clues, and landing on clear, defensible decisions.The RoleYou'll work on the core AI systems that make fraud decisions. This means building and improving the agent pipelines that coordinate LLMs, VLMs, OCR and forensic tools. You won't be just calling APIs, but designing how autonomous agents reason about complex, ambiguous evidence.Day to day, you might be:Improving how the system, and ask a question than ship something we're uncertain aboutCode gets attacked before it ships. We review from the perspective of a hostile auditorWe don't over-engineer. Three similar lines of code is better than a premature abstractionWhat Growth Looks LikeEarly on: You're deploying changes to the pipeline, understanding how evidence flows through agents, and shipping features that touch the reasoning layer.Later: You own major subsystems. The document analysis agent, the tool orchestration layer, or the cross-document case analysis pipeline. You're making architectural decisions about how agents reason.Longer term: You're designing novel multi-agent patterns, integrating new forensic tools, and shaping how the platform learns from analyst feedback over time., A technology consulting firm in the UK is seeking an AI Technical Architect to design and deliver cloud-native systems. The successful candidate will lead technical teams, build scalable architectures, and work closely with clients to translate needs into actionable..., Job Title: Senior Generative AI Architect (Agentic AI & GCP) Location: Sheffield, UK (Hybrid - 2 Days Onsite/Week) Contract Duration: 6-9 Months Role Type: FTE or Contractor The Opportunity We are seeking a high-level AI Tech Lead / Architect to drive a major..., A leading professional services firm is seeking a Lead AI Architect to join their Insurance practice. You will be responsible for developing AI architecture strategies and implementing scalable solutions for international clients. The ideal candidate should possess...
Requirements
handles a document type it's getting wrongDesigning a new agent reasoning pattern (e.G., cross-referencing findings across multiple documents in a claim)Debugging why an agent produces inconsistent verdicts on edge casesDeploying pipeline changes to AWS and monitoring real-world performanceWriting tests that verify an agent makes the right routing decision when evidence conflictsThe work sits at the intersection of AI engineering, systems design, and a surprisingly interesting fraud detection domain.Builder MindsetWe're looking for people who build systems, not just talk about them.This role is about shipping reliable AI into production: debugging edge cases, improving pipelines, and learning from real-world behaviour. If you enjoy turning ideas into working software and iterating quickly, you'll fit right in.What We're Looking ForYou should be strong in:Python: you write clean, typed code and care about it working correctly at the edgesWorking with LLMs beyond chat: structured output, multi-step reasoning, prompt calibration for reliabilityAWS: comfortable with S3, Lambda, IAM, and deploying services that need to work without you watching themLLM/VLM Observability (e.G Arize Phoenix)Testing code that involves non-deterministic systemsIdeally you also bring:Experience with agent orchestration frameworks (LangGraph, LangChain, or similar)Familiarity with vision-language models for image analysisSome exposure to document analysis, OCR, or fraud detectionOpinions about when agents are useful and when they're over-engineeringWe don't expect you to know all of:The specific AWS services we use (Bedrock AgentCore, EventBridge)Our domain (insurance fraud, document forensics)The exact frameworks in our stackThese are learnable. What matters more is that you can reason about systems, write reliable code, and think critically about how AI makes decisions.How We WorkSmall team, high autonomy, async-firstSecurity-conscious by default. We assume all inputs are hostileWe'd rather halt
Benefits & conditions
Lead Gen AI Engineer/ Architect London - Flexible Working Options Available £80,000-£90,000 + Bonus + Benefits Do you want to be at the heart of some of the biggest and most ambitious AI & Data programmes in the market? We're hiring experienced Lead GenAI System...