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 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.

Job 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

Required Qualifications, Capabilities, and Skills:



* 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

Preferred Qualifications, Capabilities, and Skills:



* Experience with agentic systems, multi-agent architectures, and LLM evaluation framework...