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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Lead Solutions Engineer -Forward Deployed - **Company:** Ipb Tech Aiml - **Location:** Glasgow, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Software Engineering, GitHub Copilot, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Backend, Containerization, Information Technology, Machine Learning Operations, Artificial Intelligence Markup Language (AIML), Software Version Control - **Published:** September 3, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/ai-lead-solutions-engineer-forward-deployed/45639344 ## About the Role deliveryChampions the firm's culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on AI/ML engineering concepts and applied experienceAdvanced Python and full-stack / generalist engineering ability - backend, data, and lightweight front-end - to ship a working end-to-end solution, with modern software engineering practices (testing, code review, version control)Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day development, with the judgement to know when to lean on them and when not toPractical experience with Large Language Models, including prompt engineering, RAG, and/or agentic frameworksHands-on experience taking solutions from prototype to production, including CI/CD, containerisation, and cloud-native deploymentProven ability to work directly with non-technical stakeholders - eliciting needs, framing problems, demoing, influencing, and building trust across technical and business audiencesComfort with ambiguity and the ability to switch context quickly across multiple problem domains, stakeholders, and engagements; a bias to ship and learn while maintaining engineering qualityProduct mindset: prioritises by user value and outcomes, with the judgement to decide what to build, what to cut, and what "good enough to prove value" looks likeCommercial acumen: spots where AI creates measurable business value, frames success metrics, and builds the case to fund and scale what worksMaster's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsIndustry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)Prior forward-deployed, solutions-engineering, consulting, or client-facing engineering experienceOpenness to periodic on-site embedding with business teams and occasional international travel, as engagements benefit from itExperience within financial services, particularly wealth, private banking, or asset managementExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr ## Description partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunitiesRapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate value quickly, then hardens and scales them with the core AIML teamOwns solutions end-to-end during the engagement: problem framing, build, demo, iteration, and hand-off to productionActs as the primary technical translator between business/product stakeholders and the engineering team, shaping opportunities into funded, well-scoped workstreamsBalances speed of iteration with the team's engineering, Responsible AI, and control standards (guardrails, evaluation, observability)Feeds reusable patterns, skills, and learnings back into the team's platform so each engagement compoundsContributes to the team's GenAI education and knowledge-sharing, and mentors junior engineers on solutioning and ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [AI-Enabled Organisations: From Strategy to Practice](https://www.wearedevelopers.com/videos/100171-ai-enabled-organisations-from-strategy-to-practice) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)