At a Glance
- Tasks: Design and develop AI/ML solutions for the LLM Suite platform.
- Company: Join JPMorgan Chase, a leader in financial technology innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Shape the future of intelligent systems and make a real impact.
- Qualifications: Computer science degree or equivalent experience; strong coding skills required.
The predicted salary is between 60000 - 80000 € per year.
Help shape how intelligent systems are built and delivered at JPMorgan Chase. In this role, you’ll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You’ll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you’ll fit right in.
As an Applied AI ML Senior Associate in LLM Suite Engineering, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high‑quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. 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. You will contribute as a team player who seeks and applies feedback.
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
- Collaborate with senior engineers and participate in design discussions
- 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
- Collaborate openly with the team, seek feedback, and apply it to improve outcomes
Required Qualifications, Capabilities, And Skills
- Computer science degree or equivalent practical experience
- Hands‑on experience with system design, application development, testing, and operational stability
- Strong understanding of the Software Development Life Cycle
Preferred Qualifications, Capabilities, And Skills
- Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock
- Proficiency in Python (FastAPI)
- Experience building microservices and APIs
- Experience with elastic compute, NoSQL databases, and messaging queues
- 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, including containerization
- Knowledge of agent‑to‑agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators
Applied AI ML Senior Associate – LLM Suite Engineering employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on fostering a dynamic work environment where innovation thrives and collaboration is key. As an Applied AI ML Senior Associate, you'll not only engage in cutting-edge AI/ML projects but also benefit from a culture that prioritises diversity, inclusion, and continuous learning, ensuring you have ample opportunities for professional growth. Located in a vibrant corporate setting, you'll be part of a team that impacts the financial landscape while enjoying the support and resources of a leading global institution.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Senior Associate – LLM Suite Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase. Use LinkedIn to connect and engage with them; you never know who might give you a heads-up about job openings or even refer you directly.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your coding skills and be ready to discuss your past projects. Practice common AI/ML problems and be prepared to explain your thought process clearly—this is your chance to shine!
✨Tip Number 3
Show off your passion for AI/ML! When you get the chance to chat with interviewers, share your excitement about the latest trends and technologies in the field. This will help you stand out as someone who's genuinely interested in the role.
✨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 at JPMorgan Chase and contributing to their innovative projects.
We think you need these skills to ace Applied AI ML Senior Associate – LLM Suite Engineering
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Applied AI ML Senior Associate role. Highlight your experience with AI/ML, cloud architecture, and any relevant projects that showcase your skills in building secure, high-quality code.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—give examples of how you've tackled complex technical challenges in the past. We love seeing how you approach problems and iterate on solutions, so share those stories!
Emphasise Collaboration:Since this role involves working closely with senior engineers, make sure to mention your teamwork experiences. Talk about how you’ve collaborated on design discussions or sought feedback to improve outcomes in previous projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our system quickly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI/ML frameworks, especially those mentioned in the job description like Azure OpenAI and AWS Bedrock. Be ready to discuss your hands-on experience with Python and system design, as well as any projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex technical challenges you've faced and how you approached solving them. This role is all about creative problem-solving, so think of instances where you iterated quickly based on feedback and how that led to successful outcomes.
✨Collaborate and Communicate
Since this position involves working closely with senior engineers, practice articulating your thoughts clearly and concisely. Be prepared to discuss how you’ve collaborated in past roles, sought feedback, and applied it to improve your work. Teamwork is key!
✨Understand the Bigger Picture
Familiarise yourself with the Software Development Life Cycle and how it applies to AI/ML projects. Being able to discuss how your work contributes to operational stability and reliability will show that you understand the importance of these aspects in a corporate environment.
