Applied AI ML Director

JPMorgan Chase & Co. • Jersey City, NJ

8h

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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

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.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees