Applied AI ML Director

JPMorganChase•Seattle, WA

About The Position

Join us at JPMorgan Chase, where you will shape the future of AI-driven solutions in financial services. As a leader in our Corporate AI ML Technology Group, you will have the opportunity to pioneer agentic AI systems that transform how we operate and serve our clients. Collaborate with world-class teams and leverage cutting-edge technologies to deliver impactful, scalable solutions. Your expertise will directly influence our strategic direction and drive business growth. Be part of a culture that values innovation, collaboration, and continuous learning. As an AI ML Director, Principal Agent Builder Platform in the Corporate AI ML Technology Group, you will lead the design and implementation of next-generation agentic AI platforms. You will work with diverse teams to deliver robust, production-ready solutions that advance our technology capabilities. Together, we will drive innovation, ensure responsible AI development, and align our initiatives with business objectives. This role offers you the chance to make a significant impact on our firm’s technology strategy and talent development. . Job Summary As an AI ML Director, Principal Agent Builder Platform in the Corporate AI ML Technology Group, you will lead the design and implementation of next-generation agentic AI platforms. You will work with diverse teams to deliver robust, production-ready solutions that advance our technology capabilities. Together, we will drive innovation, ensure responsible AI development, and align our initiatives with business objectives. This role offers you the chance to make a significant impact on our firm’s technology strategy and talent development.

Requirements

Advanced degree (PhD or Master’s) in Computer Science, Machine Learning, or related field
Minimum 10 years of experience in engineering management with a strong technical background
Hands-on expertise with machine learning frameworks such as TensorFlow, PyTorch, JAX, and scikit-learn
Deep experience with cloud platforms (AWS, GCP) and Kubernetes ecosystem, including EKS, Helm, and custom operators
Advanced coding skills and experience developing large-scale machine learning systems
Background in high performance computing and ML hardware acceleration (GPU, TPU, RDMA)
Proven track record in optimizing and contributing to open-source ML frameworks
Demonstrated ability to craft and drive a technical vision for business impact
Strong leadership skills in managing engineers, data scientists, and ML practitioners
Experience translating AI advancements into practical business solutions
Commitment to ethical and responsible AI development

Nice To Haves

Experience in agentic AI systems and agent builder platforms
Expertise in developing and deploying AI SDKs
Knowledge of ML for systems and infrastructure optimization
Familiarity with financial services industry applications of AI
Strong stakeholder management and cross-functional collaboration skills
Experience mentoring and developing technical talent
Ability to identify trade-offs and drive effective decision-making

Responsibilities

Define and drive the long-term vision for agentic AI development across the organization
Lead, mentor, and manage a team of AI researchers and engineers
Develop and implement the Agent SDK and specialized agents for enterprise applications
Translate AI research prototypes into scalable, production-ready solutions
Oversee the quality, performance, and reliability of agentic AI systems
Ensure ethical and responsible development of AI technologies
Collaborate with product management, engineering, and business teams to align AI initiatives with business goals
Identify strategic opportunities for agentic AI and set direction for R&D efforts
Provide technical guidance and foster a culture of innovation
Drive decision-making by clarifying project ambiguities and evaluating trade-offs
Optimize and contribute to open-source machine learning frameworks