Applied AI ML Director

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.
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