At a Glance
- Tasks: Design and develop AI/ML solutions for the LLM Suite platform.
- Company: Join JPMorganChase, a leader in innovative technology.
- Benefits: Competitive salary, diverse work culture, and opportunities for 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 JPMorganChase. 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.
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
- 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
Equal Opportunity Employment Statement
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 Senior Associate – LLM Suite Engineering employer: J.P. Morgan
At JPMorganChase, 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 projects that shape the future of intelligent systems but also benefit from a culture that prioritises employee growth through mentorship and hands-on experience with senior engineers. Our commitment to diversity and inclusion ensures that every voice is heard, making it an exceptional place for talented individuals to develop their careers in a supportive and forward-thinking atmosphere.
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 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! Create a portfolio or GitHub repo showcasing your AI/ML projects. This is your chance to demonstrate your coding chops and problem-solving abilities in a way that words on a CV can't.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI/ML. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our team at StudySmarter.
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 to highlight your experience with AI/ML and software development. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Projects:Include any relevant projects or experiences that demonstrate your skills in building AI/ML solutions. If you've worked with Azure or AWS, make sure to mention it – we love seeing practical examples of your work!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's relevant to the role – we want to see your personality shine through!
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 J.P. Morgan
✨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 how you've used these technologies in past projects and how they can be applied to solve complex problems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of tough technical challenges you've faced and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your creative solutions and the impact they had.
✨Collaborate and Communicate
Since this role involves working closely with senior engineers, practice articulating your thoughts clearly and concisely. Be prepared to discuss how you seek and apply feedback in a team setting, as collaboration is key in this position.
✨Demonstrate Your Coding Skills
Expect to be tested on your coding abilities, particularly in Python and FastAPI. Brush up on writing secure, high-quality code and be ready to troubleshoot common issues. Consider doing some mock coding interviews to get comfortable with the process.
