At a Glance
- Tasks: Design and develop AI/ML solutions for cutting-edge intelligent systems.
- Company: Join JPMorganChase, a leader in innovative technology and finance.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Work on exciting projects with real-world impact and excellent career advancement opportunities.
- Why this job: Shape the future of AI while collaborating with top engineers in a dynamic environment.
- Qualifications: Degree in computer science 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 and 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
- 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 â LLM Suite Engineering in London employer: hackajob
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 will not only engage in cutting-edge projects but also benefit from extensive professional development opportunities, mentorship from seasoned engineers, and a culture that values feedback and continuous improvement. Located in a vibrant city, our team enjoys a supportive atmosphere that encourages creativity and the pursuit of excellence in the rapidly evolving field of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Senior Associate â LLM Suite Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorganChase. Use LinkedIn to connect and engage with them; you never know who might help you land that interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects. This is a great way to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design problems. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with the types of questions you might face.
✨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 joining the team at StudySmarter.
We think you need these skills to ace Applied AI ML Senior Associate â LLM Suite Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your experience in AI/ML, coding, and any relevant projects you've worked on. We want to see how you can contribute to our LLM Suite platform!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background makes you a great fit for the role. Don’t forget to mention your collaborative spirit and problem-solving skills – we love that!
Showcase Your Technical Skills:Be sure to include specific examples of your technical expertise, especially in Python, cloud services, and system design. We’re looking for candidates who can write secure, high-quality code, so don’t hold back on sharing your achievements!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at hackajob
✨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 discussing your ideas clearly and concisely. Be open to feedback during the interview; it shows you're a team player and willing to learn from others.
✨Demonstrate Your Coding Skills
Be prepared for a coding challenge or technical questions. Brush up on Python, FastAPI, and any relevant microservices architecture. Practising coding problems on platforms like LeetCode or HackerRank can help you feel more confident.
