AI Frameworks Platform, Executive Director

Chase- Candidate Experience page • New York, NY

141d

About The Position

As an AI/ML Executive Director, in our AI for Operations organization, you will work on developing cutting-edge large scale Agentic-AI, GenAI, Natural Language Processing and Search Systems to serve our customers and internal agents supporting the bank’s operations.

Requirements

• PhD in Computer Science, with a strong research and industry work experience in AI/ML, Natural Language Processing and Information Retrieval.
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
• Hands-on extensive experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
• Advanced demonstrable programming skills of 10-15 years (PhD plus industry experience) on more than 1 programming language is required. Preferred: Spark, Python, Scala, Java.
• Strong background in data structures, algorithms, operating systems, compilers, distributed computing and databases.

Nice To Haves

• PhD in computer science with concentration in AI - NLP or Information Retrieval.
• Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).

Responsibilities

• Utilize large-scale distributed computing to effectively apply Agentic-AI in real-world applications to serve JPMC customers and service agents across channels.
• Use and extend GenAI capabilities to build differentiating applications that are customized to suit product and customer requirements.
• Effectively and efficiently develop various evaluation mechanisms to identify, address and improve the results of LLM based systems.
• Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Build and Lead a team of Machine Learning applied researchers and engineers. Provide technical and career guidance to the team members.
• Collaborate with cross-functional partners including product, data and engineering.
• Lead by example to provide the best service and build the most appropriate applications in a timely fashion to address customer concerns, resolving critical issues, and push forward on future roadmap and priorities.
• Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
• Act as an advanced architect and code contributor in system development, algorithms, architectural design for Agentic-AI, GenAI, NLP and machine learning systems.
• Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree