Accordience - AI Solutions Engineer

Location: London (Chancery Lane)Working pattern: Full time, hybrid (circa 2/3 days in office)Reports to: Global Head of GrowthContract: Permanent, Full time About the roleAccordience Group is the parent company of four specialist communications agencies - Grayling, CDR, Red Consultancy, and Cirkle - operating across 30+ offices worldwide.We are building custom AI tools across the group. We have strong demand and clear ideas; we need someone to turn them into working products that our agencies and clients can use.This is a hands-on builder’s role. You’ll spend most of your time shipping - agents, internal tools, automations, reporting workflows, and the occasional client-facing MVP. You’ll scope work with stakeholders, then own delivery end-to-end. The role may also involve working directly with clients to help embed AI within their communications functions.What you’ll doBuild and ship custom internal AI tools, agents, and automations that the agencies use day to dayAutomate reporting

monitoring, and workflow tasks across the groupPrototype and build MVPs of client-facing AI products, working alongside the AI teamWork with internal teams and, where appropriate, clients to embed AI within communications workflows and functionsScope use cases with stakeholders across the agencies and translate them into working solutionsWork directly with LLM APIs (OpenAI, Anthropic) and managed AI services on AWS and AzureDeploy serverless functions, wire up APIs, data sources, auth, and light front-ends around what you buildUse workflow automation platforms (n8n, Make) for the jobs that don’t need codeMaintain and improve the tools you ship - and the ones already in flightWork with Group IT to stay inside approved platforms and security standardsWhat we’re looking forYou’ve shipped real things, you can show us what they do, and you can explain why you made the choices you made.You’ll have:Hands-on experience building agents, workflows, or automations - ideally inside a company rather than just side projectsComfort with Python and scripting, and the ability to wire things together via REST APIs, webhooks, auth, and permissionsDirect experience with LLM APIs (OpenAI, Anthropic, or similar) - prompts, tool use, agent designHands-on with at least one cloud (AWS or Azure): deploying serverless functions (Lambda / Azure Functions), using managed AI services (Bedrock, Azure OpenAI), basic storage and authWorking knowledge of workflow automation platforms (n8n, Make, or equivalent)Enough front-end (HTML, React, CSS/Tailwind, or similar) to build a usable interface around what you’ve builtWorking knowledge of SQL and relational databases (e.g. PostgreSQL, T-SQL / SQL Server, or similar), including enough to query, structure, and connect data sourcesExperience with authentication and access management patterns (e.g. OAuth/OIDC; Auth0, Microsoft Entra ID, or equivalent)Git/GitHub and good repo hygieneA pragmatic, ship-it mindset - you’d rather get a v1 in front of users than perfect a v0 in privateStrong communication skills, especially with non-technical teamsUseful but not essential:Multi-cloud exposure (AWS and Azure)Retrieval / RAG patterns - vector stores (Pinecone, pgvector), Azure AI Search, or similarAirtable or similar as a structured data layerBackground in marketing services, PR, or communicationsExperience working with a Group IT or governance functionExperience working directly with clients or embedded teams in a forward-deployed / solutions engineering capacityHow to applyTo apply, send us:Your CVA few lines on similar work you’ve done and what you took from itA link or demo of something you have built OR a short take on how you would build this: weekly client coverage, pulled and summarised for sentiment and themes, into a shared doc every Monday morningFreelancers who can start quickly are welcome to apply on the same basis.