> Markdown version of [/jobs/ext/3327464-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3327464-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Fraser & Co. Talent Partners Limited - **Location:** Greater London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Software, Salesforce.Com, Large Language Models, Snowflake, Multi-Agent Systems, AI Platforms, Data Management, Virtual Agents - **Published:** September 30, 2026 - **Apply:** https://www.cv-library.co.uk/job/225581699/AI-Engineer ## About the Role AI Delivery & Experimentation * Strong awareness of where AI can solve commercial and operational challenges. * Demonstrated experience building AI-enabled solutions, prototypes, agents or automations. * Ability to rapidly prototype and iterate using modern AI platforms. * Understanding of strengths, limitations and risks of LLM-based solutions. * Curious, fast, resourceful - thrives in ambiguity. * Independent, comfortable working with light-touch direction. Stakeholder Engagement * Commercial awareness - able to explain value, cost, risk and outcomes to non-technical audiences. * Able to gather requirements, demo solutions and incorporate feedback quickly. Problem Solving & Solution Design Ability to translate ambiguous business challenges into practical AI opportunities. Structured problem-solving and analytical thinking. Sound judgement balancing value, risk, complexity and speed. Desirable Experience Salesforce ecosystem, AI agent frameworks, AI coding tools, data platforms, and AWS. ML fundamentals - features in, predictions out; able to support model-adjacent pilots. Experience training or supporting non-technical users. ## Description Our client, a global financial organisation, is urgently seeking an AI Engineer to join a high-impact, innovation team within the Enterprise Line of Business (LoB) AI & Automation programme. This is a build-first, fast-moving role designed for someone who thrives in autonomy, iterates quickly, and enjoys putting working prototypes into the hands of real users. You will explore frontier AI tools, test new technologies, and convert early-stage ideas into validated pilots that deliver measurable enterprise value. Overview of Role:- * A build-first environment - rapid prototypes, real users, real outcomes. * Frontier tooling - hands-on with the latest AI platforms, including LLMs, agent frameworks and automation tools. * High autonomy - an independent two-person Innovation Lab with light-touch direction and outcome-focused delivery. * Strategic impact - shaping how AI and automation are adopted across a major global enterprise. Accelerate Enterprise is driving functional AI and Automation across the Enterprise LoB - a strategic priority for Global Payments. This role sits within the commercial business, not engineering, meaning you'll spend time with Commercial, Operations, Credit, Compliance, Marketing and other partners to uncover high-value opportunities. You are not restricted to defined functions - you're free to scout, test and validate opportunities anywhere across the Enterprise LoB. Tool and tech scouting is core: you will evaluate cutting-edge AI tools outside the Global Payments stack, test them against real use cases, and help inform future adoption. Key Responsibilities Build & Iterate * Build agents and automations across Microsoft, AWS, Salesforce and Snowflake. * Prototype LLM use cases on AWS Bedrock or other platforms - write prompts, agent instructions and simple evaluation criteria. * Run structured pilot tests with Commercial and Operations teams. * Set up simple measurement for every pilot: baseline * pilot result * delta. * Iterate quickly on feedback and flag early when something isn't working. * Query and prepare data for pilots; connect prototypes to downstream platforms when needed. Delivery & Execution * Produce build guides, prompt documentation and integration requirements. * Train frontline users - simple guides, short sessions. * Support the Innovation Lab Manager with benefits data collection. Tool & Tech Scouting * Support the Lab's "tool & tech radar" - test external tools against real use cases. * Run side-by-side comparisons with the incumbent stack and document capability, cost and integration effort. ## Related Videos - [This App Reached 10,000 Users in One Week. 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