JPMorgan Vice President – Generative Artificial Intelligence 

United States, Florida, Jacksonville 

298476442

As a Generative AI Tech Lead, you will be responsible for 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 driving 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.