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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:
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Define and evolve agentic AI architectures, including orchestration, retrieval, memory, guardrails, and evaluation
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Act as technical authority for applied AI/ML, making architecture decisions and setting production-readiness standards
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Stay hands-on by reviewing code, prototyping complex components, and unblocking critical technical challenges
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Ensure AI/ML systems are scalable, reliable, secure, observable, and cost-efficient
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Partner with platform, data, and infrastructure teams on distributed systems and training/serving patterns
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Lead, mentor, and grow a high-performing team of applied AI/ML engineers
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Set clear technical expectations, career paths, and standards of excellence
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Foster a culture of strong engineering fundamentals, experimentation, and responsible AI practices
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Hire senior technical talent and raise the bar across the organization
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Oversee delivery of multi-agent systems that automate and scale end-to-end workflows
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Collaborate with product, risk, legal, and compliance partners to ensure solutions are innovative and deployable
Required Qualifications, Capabilities, and Skills:
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10 years of experience building and deploying applied AI/ML systems, with significant recent hands-on work
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Experience leading and managing teams of senior engineers
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Deep understanding of machine learning and AI fundamentals, including modern generative AI and LLM-based systems
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Proven track record delivering AI/ML solutions to production at scale
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Strong familiarity with distributed systems for training, inference, and state management
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Ability to communicate complex technical trade-offs to both technical and non-technical stakeholders
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Demonstrated experience setting engineering standards and driving operational excellence
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Experience collaborating with cross-functional teams in a regulated environment
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Strong coding and code review skills in Python and modern ML frameworks
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Commitment to responsible AI practices and continuous improvement
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Ability to mentor and develop engineering talent
Preferred Qualifications, Capabilities, and Skills:
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Experience with agentic systems, multi-agent architectures, and LLM evaluation frameworks
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Experience deploying AI workloads on AWS (e.g., Sage Maker, Bedrock) or equivalent platforms
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Background building AI systems in regulated or high-reliability environments
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Experience integrating user feedback loops for continuous model and system improvement
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Familiarity with financial services or asset and wealth management workflows
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Track record of hiring and developing senior technical talent
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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 JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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