Location
London

Hours
Full Time

Salary
Competitive salary commensurate with experience

About the Role
Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you will contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and production-ready. You will collaborate closely with senior engineers, engage in real design discussions, and deepen your technical expertise across cloud environments and modern AI frameworks. If you enjoy solving complex problems and iterating quickly with feedback, you will fit right in.

As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, 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 integrating with existing systems. You will focus on reliability and operational stability while collaborating on design and implementation choices. You will help deliver GenAI services using public cloud capabilities and explore 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 actively seeks and applies feedback to improve outcomes.

Experience
- Hands-on experience with system design, application development, testing, and ensuring operational stability
- Experience building AI/ML solutions and agentic systems using public cloud platforms such as Azure and AWS
- Proficiency in Python (FastAPI), microservices, APIs, elastic compute, NoSQL databases, and messaging queues
- Experience working with large language models and building agents with LangGraph
- Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization

About you
Enthusiastic about solving tough technical challenges with creative approaches. Collaborative team player who values feedback and continuous learning. Comfortable working in a fast-paced environment focused on innovation and operational excellence.

Qualifications
- Degree in Computer Science or equivalent practical experience
- Strong understanding of the Software Development Life Cycle
- Preferred: Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock