Applied AI/ML Lead: Data Readiness & Conversational AI

JPMorgan Chase & Co.

New York (NY)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. is seeking an Applied AI ML Lead - AI Data Readiness in New York. In this role, you will shape the data foundations that enable conversational analytics and AI readiness. You will define standards for semantic and contextual consistency, improve data quality practices, and ensure reliable data access.

You'll collaborate with data product leaders and engineering teams, establish frameworks for usability, and deliver prototypes that showcase measurable business impact. This position requires a strong background in applied AI/ML and significant experience in metadata management.

Qualifications

  • 5+ years of practical experience with AI and ML.
  • Experience designing or operating agentic querying approaches.
  • Hands-on experience with conversational analytics and natural-language querying.

Responsibilities

  • Define and implement an enterprise AI data readiness framework.
  • Establish standards for semantic and context layers.
  • Build and iterate proof-of-concept prototypes for conversational analytics.

Skills

Applied artificial intelligence
Machine learning concepts
Metadata management
Conversational analytics
Analytical problem-solving
Enterprise data platforms

Education

Formal training or certification in AI/ML
5+ years applied experience

Tools

Databricks Genie
Snowflake Cortex Analyst

Job description

JPMorgan Chase & Co. is seeking an Applied AI ML Lead - AI Data Readiness in New York. In this role, you will shape the data foundations that enable conversational analytics and AI readiness. You will define standards for semantic and contextual consistency, improve data quality practices, and ensure reliable data access.

You'll collaborate with data product leaders and engineering teams, establish frameworks for usability, and deliver prototypes that showcase measurable business impact. This position requires a strong background in applied AI/ML and significant experience in metadata management.

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