Applied AI ML Director

JPMorgan Chase & Co.•Seattle, WA

19h

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 AI ML & Data Platform Team, 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
Experience leading and managing teams of senior engineers
Deep understanding of machine learning and AI fundamentals, including modern generative AI and LLM-based systems
Proven track record delivering AI/ML solutions to production at scale
Strong familiarity with distributed systems for training, inference, and state management
Ability to communicate complex technical trade-offs to both technical and non-technical stakeholders
Demonstrated experience setting engineering standards and driving operational excellence
Experience collaborating with cross-functional teams in a regulated environment
Strong coding and code review skills in Python and modern ML frameworks
Commitment to responsible AI practices and continuous improvement
Ability to mentor and develop engineering talent

Nice To Haves

Experience with agentic systems, multi-agent architectures, and LLM evaluation frameworks
Experience deploying AI workloads on AWS (e.g., SageMaker, Bedrock) or equivalent platforms
Background building AI systems in regulated or high-reliability environments
Experience integrating user feedback loops for continuous model and system improvement
Familiarity with financial services or asset and wealth management workflows
Track record of hiring and developing senior technical talent
Experience fostering a culture of experimentation and innovation

Responsibilities

Define and evolve agentic AI architectures, including orchestration, retrieval, memory, guardrails, and evaluation
Act as technical authority for applied AI/ML, making architecture decisions and setting production-readiness standards
Stay hands-on by reviewing code, prototyping complex components, and unblocking critical technical challenges
Ensure AI/ML systems are scalable, reliable, secure, observable, and cost-efficient
Partner with platform, data, and infrastructure teams on distributed systems and training/serving patterns
Lead, mentor, and grow a high-performing team of applied AI/ML engineers
Set clear technical expectations, career paths, and standards of excellence
Foster a culture of strong engineering fundamentals, experimentation, and responsible AI practices
Hire senior technical talent and raise the bar across the organization
Oversee delivery of multi-agent systems that automate and scale end-to-end workflows
Collaborate with product, risk, legal, and compliance partners to ensure solutions are innovative and deployable