JPMorganChase is looking to solve the problem of delivering high-quality AI products that resonate with clients and exceed customer expectations by innovating new product offerings and leading the end-to-end product life cycle.
Requirements
- AI/ML Evangelist: You are an AI/ML evangelist with 3+ years of experience in building complex and impactful Financial AI products
- Experience with market instruments and possess strong knowledge of various asset classes, operations, and the instrument life cycle.
- Advanced knowledge of the AI/ML model and product development life cycle and design
- Hands-on experience with Gen AI, including knowledge of end-to-end model development, large language model (LLM) engineering principles, and expertise in streaming platform technologies
- Experience in cloud computing and architecture, ML platform processes, and tools spanning data ingestion, data engineering, data quality, data orchestration, end-to-end infrastructure, usage/consumption, and data privacy considerations and governance.
- Experience working on projects involving the AI/ML development lifecycle (MDLC), including annotation, model training, model serving, scoring, pre/post-processing, productionization, and feedback capture.
- Demonstrated prior experience working in a highly matrixed, complex organization
Responsibilities
- Build strong, strategic relationships with clients across the firm; you are highly collaborative and interface successfully between clients, technology, and data science
- Lead and drive Gen AI product execution across all phases—discovery, ideation, development, launch, and post-launch optimization.
- Collaborate with engineering and data science teams to design and implement real-time, scalable AI solutions for CIB financial instruments and asset classes.
- Apply deep knowledge of financial instruments, asset classes, and their life cycles to inform product decisions and ensure relevance to market operations.
- Uphold firmwide standards for data privacy and AI governance across all AI initiatives.
- Oversee projects involving data ingestion, engineering, orchestration, and infrastructure, ensuring robust and compliant AI/Gen AI workflows.
- Design KPIs and metrics to evaluate product performance, observability, and user engagement over time; ensure your team and stakeholders understand how you are measuring product success
Other
- 3+ years of experience in building complex and impactful Financial AI products
- Ability to convert ambiguous needs into scalable business solutions. Your solutions are driven by logic, reason, and empirical observations.
- Strong team player who can skillfully collaborate across a cross-functional team to drive outcomes
- Exceptional communication skills, enabling you to represent the product effectively with senior stakeholders and influence key decision-makers
- Bachelor's degree or higher in a relevant field (not explicitly mentioned but implied)
