Applied AI & ML Lead - Markets Operations

Bring your expertise in applied artificial intelligence and machine learning to a team improving how Markets Operations runs at scale.

You will partner across operations, product, engineering, and data to deliver production-grade solutions with measurable impact.

In a collaborative environment, you will shape strategy, mentor talent, and build durable capabilities designed for reliability, control, and real-world adoption.

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within Markets Operations in the Commercial & Investment Bank, you will drive the strategy, design, and delivery of solutions that improve operational efficiency, resilience, and control outcomes.

You will lead a team of scientists and engineers and collaborate with senior stakeholders to prioritize high-impact opportunities and deliver solutions that scale.

You will set technical direction, strengthen engineering and governance practices, and translate complex concepts into clear, outcome-focused results.

Job Responsibilities:


* Lead the end-to-end delivery of machine learning and generative AI solutions that measurably improve Markets Operations outcomes


* Set technical direction and execution strategy across model development, deployment, and adoption aligned to business priorities


* Oversee the architecture and production deployment of AI applications, including agent-based and workflow-automation solutions


* Manage, coach, and develop a team of scientists and engineers, fostering a collaborative and inclusive culture of continuous learning


* Establish and enforce best practices for model monitoring, evaluation, and performance optimization in production environments


* Partner with business, operations, and technology leaders to shape problem statements, success metrics, and delivery roadmaps


* Guide analysis of large, complex datasets to identify drivers, risks, and automation opportunities


* Ensure solutions are engineered for reliability, scalability, and maintainability, with strong operational readiness


* Communicate technical approaches, decisions, and results through clear documentation and cross-functional forums

Required Qualifications, Capabilities, and Skills:


* Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience


* Bachelor's or Master's degree in computer science, data science, artificial intelligence, or a related field (or equivalent experience)


* Demonstrated leadership delivering AI/ML initiatives from concept through production, including team and stakeholder management


* Strong applied experience in machine learning, including feature engineering, model development, and statistical analysis on large datasets


* Hands-on proficiency in Python and common machine learning libraries (for example, scikit-learn, TensorFlow, or PyTorch)


* Proven experience deploying, operating, ...