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 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 

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

#LI-RB3