At a Glance
- Tasks: Lead the development of innovative AI/ML solutions and enhance the LLM Suite platform.
- Company: Join JPMorganChase, a leader in applied AI with a focus on collaboration and innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a strong emphasis on diversity and inclusion.
- Why this job: Shape the future of intelligent systems and make a real impact in tech.
- Qualifications: Degree in computer science or equivalent experience; proficiency in Python and system design.
The predicted salary is between 70000 - 90000 £ per year.
Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning.
As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities.
Job Responsibilities
- Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges.
- Write secure, high-quality production code and maintain algorithms that integrate with existing systems.
- Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery.
- Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks.
- Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock.
- Identify hidden problems and patterns in data proactively to improve coding standards and system architecture.
- Participate in software engineering communities of practice and events focused on emerging technologies.
Required Qualifications, Capabilities, and Skills
- Computer science degree or equivalent practical experience.
- Hands-on experience with system design, application development, testing, and operational stability.
- Proficiency in Python (FastAPI).
- Experience building microservices and APIs.
- Experience with elastic compute, NoSQL databases, and messaging queues.
- Strong understanding of the Software Development Life Cycle.
- Solid grasp of CI/CD, application resiliency, and security.
Preferred Qualifications, Capabilities, and Skills
- Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock.
- Proficiency working with large language models and building agents with LangGraph.
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages.
- Experience with containerization.
- Knowledge of agent-to-agent (A2A) communication concepts.
- Familiarity with Model Context Protocol (MCP).
- Experience with agentic orchestrators, personal AI assistants, or AI skills development.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Applied AI ML Lead - LLM Suite Engineering in London employer: Ccgmag
At JPMorgan Chase, we pride ourselves on being at the forefront of applied AI innovation, offering a dynamic work environment where your contributions directly impact the future of intelligent systems. Our culture fosters collaboration, continuous learning, and a commitment to security and quality, ensuring that you not only grow as a professional but also thrive in a diverse and inclusive workplace. Join us in our state-of-the-art facilities, where you'll have access to cutting-edge technology and the opportunity to work alongside some of the brightest minds in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Lead - LLM Suite Engineering 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 Ccgmag 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 Ccgmag.
✨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 Ccgmag.
✨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 Ccgmag 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 ML Lead - LLM Suite Engineering 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 Ccgmag.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ccgmag 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 Ccgmag
✨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 Ccgmag 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.
