Applied AI ML Lead - Machine Learning Engineer - Agentic Commerce
JPMorgan Chase · London
2 weeks ago
Not specifiedFull_timeagentic commercellm agentsretrieval-augmented generation
2 weeks ago
Workplace
Not specified
Employment
Full_time
Location
London
Posted
2 weeks ago
Summary
Lead AI and ML Engineer building and operating LLM-powered agentic commerce solutions for JPMorganChase’s Commercial & Investment Bank and Payments. The role combines agent development, retrieval, evaluation, and MLOps across platforms including NEO, AWS, Azure, Databricks, and SageMaker; no working arrangement is specified.
Responsibilities
- Design and ship production agents on NEO
- Build graph rag retrieval and ranking systems
- Design episodic and semantic agent memory
- Compose multi-agent workflows with A2A and MCP
- Evaluate agents with regression and safety gates
- Deploy agent solutions across AWS and Azure
- Train and productionize traditional machine learning models
pythonsqljavascripttypescriptgraph ragragvector searchembeddingsknowledge graphsa2amcpkubernetesawsazuredatabrickssnowflakesplunkbitbucketconfluencemlflowsagemakerpostgresqlopensearchredisnext.jssveltemlopsllm-as-judgeneoepisodic memorysemantic memory
agentic commercellm agentsretrieval-augmented generationmlopsfinancial servicespayments