At a Glance
- Tasks: Lead the design and development of cutting-edge AI/ML solutions for the LLM Suite platform.
- Company: Join JPMorgan Chase, a leader in innovative technology and applied AI.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion in a supportive workplace that values your unique contributions.
- Why this job: Shape the future of AI while collaborating with talented engineers in a dynamic environment.
- 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 JPMorgan Chase – 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.
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.
Applied AI ML Lead - LLM Suite Engineering employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on being an exceptional employer, particularly for those in the Applied AI ML Lead role. Our collaborative work culture fosters innovation and continuous learning, while our commitment to diversity and inclusion ensures that every voice is valued. With access to cutting-edge technology and opportunities for professional growth, you will thrive in an environment that encourages you to turn complex challenges into impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Lead - LLM Suite Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorganChase. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to AI/ML, make sure to highlight them. Real-world examples of your work can speak volumes.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and coding challenges. Practice makes perfect, so get comfortable with Python and microservices before the big day!
✨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, it shows you're serious about joining the team.
We think you need these skills to ace Applied AI ML Lead - LLM Suite Engineering
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:When writing your application, emphasise your proficiency in Python, microservices, and cloud services like Azure or AWS. We’re looking for hands-on experience, so include specific examples of your work that demonstrate your technical prowess.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and avoid jargon unless it’s relevant. We appreciate clarity as much as creativity!
Apply Through Our Website:Don’t forget 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 JPMorganChase
✨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 and be ready to explain your thought process. This will demonstrate your hands-on engineering capabilities and your ability to think critically.
✨Emphasise Collaboration
Since this role involves working with talented builders and participating in communities of practice, highlight your experience in collaborative environments. Share stories that showcase your teamwork skills and how you’ve contributed to a positive culture in previous roles.
✨Stay Current with Emerging Technologies
Familiarise yourself with the latest trends in AI/ML and agentic systems. Be prepared to discuss concepts like agent-to-agent communication and model context protocols. Showing that you’re proactive about learning will impress interviewers and align with the company’s values.
