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JPMorgan Vice President – Generative Artificial Intelligence 
United States, Florida, Jacksonville 
298476442

21.09.2024

Job Summary

As a Vice President – Generative Artificial Intelligence Integration in our Home Lending team, you will be at the forefront of innovation, leading the development and fine-tuning of advanced generative AI models. You will work closely with cross-functional teams to architect and prototype agentic systems, create and curate datasets for model fine-tuning, and implement robust evaluation and monitoring frameworks. Your expertise will be crucial in ensuring the success of our AI initiatives and promoting innovation within the organization.

Job Responsibilities:

  • Lead the practical application and integration of Generative AI technologies, focusing on model fine-tuning techniques such as DPO and RLHF.
  • Architect and prototype Agentic systems to enhance operational workflows and improve customer experiences.
  • Create and curate datasets specifically for fine-tuning, evaluation, and monitoring of generative AI models.
  • Oversee the development and implementation of AI-driven projects, ensuring alignment with business objectives and delivering measurable results.
  • Collaborate with product, technology, and data science teams to ensure the seamless integration of AI tools and systems.
  • Manage cross-functional relationships to foster a culture of innovation and ensure the successful adoption of AI technologies.
  • Stay updated with the latest trends and developments in Generative AI and Machine Learning, applying this knowledge to improve internal processes and customer services.
  • Lead workshops and training sessions to educate team members and stakeholders on Generative AI, model evaluation, and benchmarking.
  • Design and recommend Generative AI metrics to first establish a needle, then see how it moves in development, testing, and production.

Required Qualifications, Capabilities, and Skills:

  • Demonstrated hands-on experience in performing or leading model fine-tuning techniques such as DPO and RLHF.
  • Proven expertise in architecting and prototyping Agentic systems.
  • Strong background in creating and curating datasets for generative AI model fine-tuning, evaluation, and monitoring.
  • Strong background in Python and comfortable prototyping web applications (React, Typescript, JavaScript)
  • Advanced knowledge of data governance and ethical considerations in AI, ensuring compliance with industry standards and regulations.
  • Exceptional communication skills to articulate technical concepts to non-technical stakeholders and to facilitate effective collaboration across different departments.

Preferred Qualifications, Capabilities, and Skills:

  • Comfort in educating and explaining Generative AI concepts.
  • Expertise in model evaluation and benchmarking.
  • Familiarity with frameworks like Langfuse, Langsmith, or similar.