At a Glance
- Tasks: Design and develop AI/ML solutions for the LLM Suite platform.
- Company: Join JPMorganChase, a leader in innovative financial solutions.
- 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: Degree in computer science or equivalent experience 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
Applied AI ML Senior Associate â LLM Suite Engineering in London employer: 慨正橡扯
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 that shape the future of intelligent systems but also benefit from a culture that prioritises diversity, inclusion, and continuous learning. With access to advanced technologies and opportunities for professional growth, you'll be empowered to make a meaningful impact in the financial sector while working alongside some of the brightest minds in the industry.
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 current employees at JPMorganChase on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and understanding AI/ML concepts. We recommend practicing with real-world problems and discussing your thought process out loud during mock interviews.
✨Tip Number 3
Showcase your projects! If you've built any AI/ML solutions or worked on relevant software, make sure to highlight these in your discussions. We love seeing practical applications of your skills.
✨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 genuinely interested in joining the team.
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 Application:Make sure to customise your CV and cover letter to highlight your experience with AI/ML and software development. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Off Your Problem-Solving Skills:In your application, share examples of how you've tackled complex technical challenges in the past. We love candidates who can think creatively and iterate quickly, so let us know how you approach problem-solving!
Highlight Collaboration Experience:Since this role involves working closely with senior engineers, it’s important to mention any teamwork experiences. Talk about how you’ve collaborated on projects and how you’ve used feedback to improve outcomes.
Apply Through Our Website:We encourage you to submit your application through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at 慨正橡扯
✨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 Collaboration Skills
Since this role involves working closely with senior engineers, prepare examples of how you've successfully collaborated in a team setting. Highlight instances where you sought feedback and iterated on your work, as this shows you're a team player who values input.
✨Prepare for Design Discussions
Expect to engage in technical design discussions during the interview. Familiarise yourself with system design principles and be ready to articulate your thought process when tackling design challenges. This will demonstrate your understanding of the Software Development Life Cycle.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios or technical challenges during the interview. Think through your approach to problem-solving and be ready to explain your reasoning. This will showcase your ability to think critically and creatively under pressure.
