At a Glance
- Tasks: Lead the development of innovative AI/ML solutions for the LLM Suite platform.
- Company: Join JPMorganChase, a leader in applied AI and technology.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on learning and emerging technologies.
- Why this job: Shape the future of intelligent systems and make a real impact.
- Qualifications: Degree in computer science or equivalent experience; proficiency in Python and system design.
The predicted salary is between 80000 - 100000 € 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.
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: J.P. Morgan
At JPMorgan Chase, we pride ourselves on fostering a dynamic work environment where innovation and collaboration thrive. As an Applied AI ML Lead, you'll not only engage in cutting-edge technology but also benefit from a culture that prioritises learning and professional growth. With access to diverse projects and a commitment to inclusivity, you'll find meaningful opportunities to advance your career while contributing to impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Lead - LLM Suite Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We all know that confidence is key, so get comfortable talking about your experiences.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Applied AI ML Lead - LLM Suite Engineering in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI/ML and system design. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills:Since this role is all about hands-on engineering, be sure to include specific examples of your work with Python, microservices, and cloud services like Azure or AWS. We love seeing real-world applications of your skills!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the team!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, and cloud services like Azure and AWS. Brush up on your knowledge of microservices, APIs, and the Software Development Life Cycle to show you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical challenges. Think about how you turned ambiguity into reliable systems in past projects. This will demonstrate your hands-on engineering experience and ability to think critically under pressure.
✨Emphasise Collaboration
Since this role involves working with talented builders, be ready to talk about your experiences in collaborative environments. Highlight any communities of practice or tech events you've participated in, as this shows you're a team player who values learning and sharing knowledge.
✨Understand Emerging Technologies
Familiarise yourself with concepts like agent-to-agent communication and Model Context Protocol. Being able to discuss these emerging patterns will set you apart and show that you’re not just keeping up with trends but are also eager to contribute to evolving the platform.
