Applied AI ML Director
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description Join JPMorgan Chase and help shape the future of
AI-driven innovation in financial services. As an Applied AI / ML
Director in Data Science & AI within Corporate Sector Team , you'll
actively contribute to the development of machine learning and
GenAI-powered applications, shape the technical direction of
Corporate Technology AI, and drive innovation and efficiency within
a highly collaborative environment. You will lead, mentor, and
inspire a team of senior AI engineers to deliver production-grade
agentic AI systems. You will partner with us to define technical
direction, set engineering standards, and ensure operational
excellence across multiple use cases. Your leadership will drive
innovation, foster a culture of experimentation and responsible AI,
and help us deliver solutions that make a measurable business
impact. Together, we will build the next generation of AI systems
for the firm. Job Responsibilities: Lead hands-on development
efforts to drive the development and technical direction, focusing
on the adoption of bleeding edge technology. Actively participate
in coding, system architecture, and the implementation of GenAI and
Machine learning infrastructure and applications. Implement complex
ML infrastructure deployments to optimize and accelerate machine
learning workloads. Effectively communicate complex features and
systems in detail to stakeholders at all levels. Understand
industry and company-wide trends to assess and implement new
technologies, including integration technologies relevant to AI
applications. Collaborate closely with cross-functional teams to
improve the performance of the team and organization through
hands-on technical leadership. Lead the technical vision and
roadmap for enterprise initiatives, ensuring practical execution.
Collect and synthesize requirements to create an effective feature
roadmap and actively contribute to the development of those
features. Identify and resolve performance and scalability issues,
driving efforts to reduce technical debt through direct involvement
in coding and system improvements. Required Qualifications,
Capabilities, and Skills: 10 years of experience building and
deploying applied AI/ML systems, with significant recent hands-on
work Proficient in utilizing data and analysis to explain technical
problems and provide detailed feedback and solutions. Foundational
understanding of NVIDIA GPU Infrastructure software (e.g., NVIDIA
DCGM, BCM, Triton Inference), Kubernetes and Cloud. Hands-on
experience with ML frameworks like TensorFlow, PyTorch, or
Scikit-learn. Experience in ML Ops and associated tooling like
MLflow. Experience with High Performance Computing and Machine
Learning frameworks such as vLLM, Ray.io, Slurm. Familiarity with
cloud data services and big data processing tools. Familiarity with
integration technologies relevant to AI applications. Knowledge of
NLP techniques, including text preprocessing, tokenization, and
sentiment analysis. Understanding of information retrieval
concepts, such as indexing, querying, and ranking. Demonstrated
experience with data structures and algorithms, including graph
theory and optimization techniques. Preferred Qualifications,
Capabilities, and Skills: Ability to communicate complex technical
trade-offs to both technical and non-technical stakeholders
Experience collaborating with cross-functional teams in a regulated
environment Commitment to responsible AI practices and continuous
improvement Ability to mentor and develop engineering talent
Experience collaborating with cross-functional teams in a regulated
environment LI-RB3
Keywords: JPMorganChase, Toms River , Applied AI ML Director, IT / Software / Systems , Jersey City, New Jersey
