At a Glance
- Tasks: Lead the development of innovative AI solutions and collaborate with diverse teams.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Competitive salary, opportunities for mentorship, and a dynamic work environment.
- Other info: Exciting career growth opportunities and potential for international travel.
- Why this job: Make a real impact by shaping AI solutions that drive business value.
- Qualifications: Experience in AI/ML engineering, strong Python skills, and a collaborative mindset.
The predicted salary is between 62000 - 102000 £ per year.
Requirements
- 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 Git Hub 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 Gen AI 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
Responsibilities
- 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 Gen AI 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
- Git Hub
- LLM
- Machine Learning
- Python
- RAG
- AWS
- Network
- More
We are J.
Morgan, a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors.
Our first-class business in a first-class way approach guides how we serve clients and build trusted, long-term partnerships.
This Vice President role sits within our International Private Bank Technology Artificial Intelligence and Machine Learning team, reporting to the Head of AI, IPB Tech.
We value diversity, inclusion, and equal opportunity, and we offer an environment where our Asset & Wealth Management businesses deliver investment management and private banking solutions across global markets.
- last updated 36 week of 2026
- #J-18808-Ljbffr
AI Lead Solutions Engineer in Glasgow employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Lead Solutions Engineer in Glasgow
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace AI Lead Solutions Engineer in Glasgow
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at JP Morgan Chase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JP Morgan Chase and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at JP Morgan Chase
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If JP Morgan Chase uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
