AI ML Executive Director

Testing Site - JPMC; New York (NY); On-site; USD 250,000 - 400,000; Full time

Job summary

Testing Site - JPMC is seeking an Asan AI/ML Executive Director within the AI for Operations organization to advance cutting-edge large-scale Agentic-AI, GenAI, NLP and Search Systems for customers and internal agents across the bank’s operations.

You will lead a team of ML researchers and engineers, collaborate with product, data and engineering, and shape the full product lifecycle from objective definition to roadmap execution, while driving innovation and delivering high-impact AI solutions.

Qualifications

• PhD in Computer Science with strong research and industry work in AI/ML, NLP and Information Retrieval.
• Outstanding written and oral communication skills to present analytical findings and influence stakeholders.
• Hands-on experience developing large-scale ML solutions based on big data (classification, regression, recommender systems).
• 10–15 years of advanced programming across more than one language (prefer Spark, Python, Scala, Java).
• Strong background in data structures, algorithms, operating systems, compilers, distributed computing and databases.

Responsibilities

• Lead a team of ML researchers and engineers; provide technical and career guidance.
• Align with cross-functional partners including product, data and engineering.
• Contribute to the full product lifecycle from objective setting to roadmap delivery.
• Act as an advanced architect and code contributor for Agentic-AI, GenAI, NLP and ML systems.
• Foster continuous learning and new knowledge sharing within the organization.

Skills

AI/ML leadership

NLP/IR

Distributed computing

Big data ML

Programming: Spark/Python/Scala/Java

Data structures/Algorithms

Communication skills

Research experience

Education

PhD in Computer Science

Tools

Spark

Python

Scala

Java

Job description

Asan 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.

Job 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.

Required qualifications, capabilities, and skills:

• 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.

Preferred qualifications, capabilities, and skills:

• 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).