GenAI Solutions Lead — Senior Applied AI Associate

JPMorgan Chase

Plano (TX)

On-site

USD 120,000 - 160,000

Full time

10 days ago
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Job summary

JPMorgan Chase is seeking an Applied AI Senior Associate in Plano, TX, to lead GenAI-driven initiatives and collaborate with data scientists, engineers, and product managers. You will oversee research, prototyping, and implementation of AI solutions addressing complex business challenges.

The role emphasizes translating business needs into data science requirements, managing cross-functional projects, and communicating AI concepts to diverse stakeholders.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related STEM field with proven GenAI/AI/ML solution design in a large enterprise.

Responsibilities

  • Lead design and implementation of AI-driven projects using GenAI to solve business challenges.
  • Collaborate with data scientists, engineers, and product managers to apply GenAI models aligning with business objectives.
  • Conduct research, build prototypes, and demonstrate concepts to stakeholders.
  • Oversee data processing and ML model building, ensuring quality and integration into solutions.
  • Develop systematic problem-solving approaches leveraging technical and non-technical skills.
  • Communicate complex AI concepts to diverse audiences and tailor presentations accordingly.
  • Manage stakeholder relationships by translating business and technical requirements into data science specs.
  • Apply project management to identify tasks, analyze inter-dependencies, and estimate timelines.

Skills

GenAI experience
AI/ML concepts
Stakeholder management
Project management
Bachelor's degree in CS/DS/Engineering

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or STEM

Job description

JPMorgan Chase is seeking an Applied AI Senior Associate in Plano, TX, to lead GenAI-driven initiatives and collaborate with data scientists, engineers, and product managers. You will oversee research, prototyping, and implementation of AI solutions addressing complex business challenges.

The role emphasizes translating business needs into data science requirements, managing cross-functional projects, and communicating AI concepts to diverse stakeholders.

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