Applied AI and Machine Learning Director
Company: JPMorganChase
Location: Wilmington
Posted on: April 1, 2026
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Job Description:
Description Help shape how GenAI and agentic AI create value at
JPMorganChase. In this hands-on leadership role, you will lead and
grow a team of data scientists while setting technical direction
and delivery standards. You will partner closely with engineering,
product, and business teams to move from ideas to production-grade
solutions. If you enjoy building, mentoring, and influencing
outcomes across teams, you will find meaningful opportunities to
grow your impact here. Job summary As an Applied AI and Machine
Learning Director in our Applied AI and Machine Learning team, you
will lead end-to-end delivery of GenAI and AI and machine learning
solutions and guide technical decisions that enable scalable,
maintainable outcomes. You will mentor and develop a team,
establish best practices for code quality and model delivery, and
stay close to the work through architecture and critical reviews.
You will collaborate across functions to translate needs into clear
plans, success metrics, and shipped capabilities. You will
communicate progress and risks to senior leaders and connect
technical outcomes to business impact. You will work across
multiple concurrent initiatives and balance near-term delivery with
longer-term technical foundations. You will help drive adoption of
new capabilities by supporting change and enabling partners to use
solutions effectively. You will contribute to a culture of
innovation, continuous improvement, and inclusive team practices.
Job responsibilities Lead, mentor, and develop a team of data
scientists, fostering a collaborative, high-performance, and
inclusive environment Set clear goals, provide technical guidance,
and support professional growth for team members Establish and
reinforce best practices in data science, code quality, and
solution delivery Oversee end-to-end delivery of GenAI and AI and
machine learning use cases from ideation and prototyping through
production deployment Contribute hands-on to solution architecture,
technical design, and critical code reviews Design and implement
GenAI solutions using large language models, agentic AI systems,
and retrieval augmented generation patterns Build and optimize
scalable data pipelines and ETL and ELT processes to support model
development and deployment Partner with engineering teams to
deliver robust, scalable, and maintainable solutions Collaborate
with product and business partners to clarify requirements, align
priorities, and manage expectations Develop project plans, define
success metrics, and drive execution across multiple initiatives
while identifying and mitigating risks Communicate clearly with
senior leaders on progress, risks, and the business impact of
technical solutions Required qualifications, capabilities, and
skills Advanced Python programming skills, including writing
production-quality, maintainable code Hands-on experience
delivering GenAI solutions using large language models, including
prompt engineering and fine-tuning Experience with agentic AI
frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI
Experience with retrieval augmented generation patterns,
embeddings, vector search, and vector databases Experience with
modern data platforms and ETL and ELT practices, including
Snowflake or Databricks and at least one major cloud platform
Experience with common data science and machine learning libraries
such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow Working
knowledge of MLOps practices such as model versioning, experiment
tracking, deployment pipelines, Git, and containerization Proven
people leadership experience leading and developing data science
teams with a focus on technical excellence and growth Demonstrated
delivery of business-impactful AI and machine learning initiatives
in large enterprise environments Strong project management and
stakeholder management skills across cross-functional teams,
including communication to senior leaders Bachelor’s degree in
Computer Science, Engineering, Data Science, Mathematics,
Statistics, or equivalent practical experience Preferred
qualifications, capabilities, and skills Experience with graph
databases and semantic technologies such as Neo4j, TigerGraph, or
Amazon Neptune Experience with knowledge graph construction,
ontology design, taxonomy development, and integration with GenAI
solutions Experience with advanced retrieval techniques such as
hybrid search, re-ranking, query decomposition, or multi-hop
reasoning Experience with model evaluation approaches and
responsible AI practices Experience enabling adoption of AI and
machine learning solutions through change management or
organizational enablement Familiarity with Agile delivery methods
and modern product practices Experience in financial services or
other highly regulated industries
Keywords: JPMorganChase, Jacksonville , Applied AI and Machine Learning Director, IT / Software / Systems , Wilmington, North Carolina
