At a Glance
- Tasks: Lead AI teams to innovate and deliver impactful automation solutions.
- Company: Join JPMorganChase, a leader in financial services and technology.
- Benefits: Competitive salary, career growth, and the chance to shape AI-driven operations.
- Other info: Dynamic role with opportunities to influence the future of banking.
- Why this job: Make a real difference in how the world’s largest bank operates with cutting-edge AI.
- Qualifications: Hands-on AI experience and strong leadership skills required.
The predicted salary is between 75645 - 92455 £ per year.
Description
Join us as we redefine how the world’s largest bank operates by harnessing the power of open source and frontier AI models.
You’ll have the opportunity to shape the future of operational automation, working with talented teams to deliver impactful, end-to-end solutions.
At JPMorgan Chase, you’ll drive innovation, foster a culture of excellence, and see your work make a tangible difference.
If you’re passionate about technical leadership and want to influence the next generation of AI-driven operations, this is your chance to make your mark.
Job Summary
As an Executive Director in the Applied Artificial Intelligence team within Corporate Investment Banking at JPMorgan Chase, you will lead a group of AI practitioners to build and deliver agentic automation capabilities.
You will own both the development of shared applied AI capabilities and the end-to-end delivery of agentic solutions for priority Operations processes.
You will set technical direction, partner with cross-functional teams, and ensure that AI-driven solutions are safely and effectively integrated into live operations.
Your leadership will help shape the future of how we work and deliver value at scale.
Job Responsibilities
- Own and evolve shared applied AI capabilities, including agent authoring, orchestration patterns, evaluation, and the human-agent working surface, driving adoption across teams.
- Lead end-to-end delivery of agentic solutions for priority Operations processes, from problem framing to production operation under governance.
- Judge and maintain the balance between productizing durable shared capabilities and developing solution-specific surfaces.
- Mentor and inspire a team of AI engineers and practitioners, fostering a culture of excellence, innovation, and continuous learning.
- Set and uphold technical direction across agent orchestration, tool use, context assembly, human-in-the-loop design, and evaluation of non-deterministic behavior.
- Align delivery across multiple partner streams, resolving dependencies and sequencing without escalation.
- Build and sustain senior stakeholder confidence, translating technical constraints into business consequences and business intent into engineering requirements.
- Define and instrument the evidence base for each solution, measuring agent autonomy and human involvement.
- Drive best practices as a community leader and ensure AI practitioners stay current with the latest advances.
Required Qualifications, Capabilities, and Skills
- Hands-on experience building and shipping AI systems, not just managing teams.
- Demonstrated experience with agentic systems in production, including orchestration, tool use, retrieval, context assembly, human-in-the-loop design, and evaluation of non-deterministic behavior.
- Experience building and leading high-performing AI teams, including hiring, development, and performance management.
- Proven track record of leading complex cross-functional delivery and aligning multiple teams to a common plan.
- Exceptional stakeholder management skills, with credibility across senior business, technology, and control audiences.
- Strong software engineering foundations, including service design, distributed patterns, and testing of non-deterministic systems.
- Exceptional verbal and written communication skills, able to convey complex technical concepts to diverse audiences.
- Ability to influence key decision makers with compelling technical arguments.
Preferred Qualifications, Capabilities, and Skills
- Experience in financial services or other regulated, high-volume, control-heavy environments.
- Familiarity with policy-enforced execution, entitlements, and audit requirements for automated actions.
- Significant contributions to open source projects or published work in artificial intelligence and machine learning.
- Advanced degree in a quantitative discipline.
Applied AI Director in London employer: JPMorganChase
J.P. Morgan Europe Limited is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of the financial sector. Employees benefit from comprehensive growth opportunities, competitive compensation, and a commitment to professional development, all while contributing to impactful consumer banking initiatives. Working here means being part of a prestigious institution that values insights and empowers its team members to drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Director in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JPMorganChase or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JPMorganChase.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like JPMorganChase.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JPMorganChase that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI Director in London
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 JPMorganChase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorganChase 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 JPMorganChase
✨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 JPMorganChase 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.
