> Markdown version of [/jobs/ext/2841525-ai-lead-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/2841525-ai-lead-solutions-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 Lead Solutions Engineer - **Company:** JPMorgan Chase & Co. - **Location:** Glasgow, UK - **Experience:** Expert - **Salary:** £62,000.0 - £102,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Code Review, Encodings, Continuous Integration, Github, Python (Programming Language), Machine Learning, Software Engineering, GitHub Copilot, Large Language Models, Prompt Engineering, Model Validation, Backend, Containerization, Information Technology, Machine Learning Operations, Front End Software Development, Virtual Agents, Artificial Intelligence Markup Language (AIML), Software Version Control - **Published:** September 11, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5878312681 ## About the Role * Formal training or certification in AI/ML engineering concepts, with applied experience * Advanced Python and full-stack or generalist engineering ability, including backend, data, and lightweight front-end development * Strong software engineering practices, including testing, code review, and version control * Fluency with AI coding tools such as Claude Code or GitHub Copilot as part of day-to-day development * Practical experience with Large Language Models, including prompt engineering, RAG, and/or agentic frameworks * Hands-on experience taking solutions from prototype to production, including CI/CD, containerisation, and cloud-native deployment * Proven ability to work directly with non-technical stakeholders, including eliciting needs, framing problems, demoing, influencing, and building trust * Comfort with ambiguity and the ability to switch context quickly across multiple problem domains, stakeholders, and engagements * Product mindset with the ability to prioritise by user value and outcomes * Commercial acumen to identify measurable business value, define success metrics, and build the case to fund and scale solutions * Masters degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent applied experience * Preferred: industry-recognised cloud or GenAI certification * Preferred: prior forward-deployed, solutions-engineering, consulting, or client-facing engineering experience * Preferred: openness to periodic on-site embedding with business teams and occasional international travel * Preferred: experience within financial services, particularly wealth, private banking, or asset management * Preferred: experience designing or contributing to AI governance, model validation, or guardrail frameworks * Preferred: familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates ## Description * Embed with our advisors, business teams, and product partners to discover and frame high-value AI/ML opportunities * Rapidly prototype and build agentic AI and LLM-powered solutions full-stack and end-to-end to demonstrate value quickly * Harden and scale solutions with our core AIML team after initial validation * Own solutions end-to-end during the engagement, including problem framing, build, demo, iteration, and hand-off to production * Act as the primary technical translator between business and product stakeholders and our engineering team * Shape opportunities into funded, well-scoped workstreams * Balance speed of iteration with our engineering, Responsible AI, and control standards, including guardrails, evaluation, and observability * Feed reusable patterns, skills, and learnings back into our platform so each engagement compounds * Contribute to our GenAI education and knowledge-sharing efforts * Mentor junior engineers on solutioning and delivery * Champion our culture of diversity, opportunity, inclusion, and respect Technologies: * Agentic AI * AI * Backend * CI/CD * Claude Code * Cloud * Copilot * GitHub * LLM * Machine Learning * Python * RAG * AWS * Network ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)