Applied AI ML Researcher Director
Role details
Job location
Tech stack
Job description
Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.
As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
Job Responsibilities:
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Architect and develop GenAI and agentic solutions to automate complex operational processes
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Assist Lines of Business and teams to directly solve priority use cases within the domain
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Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
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Design and build services and libraries that AI teams want to use
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Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
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Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
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Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact, J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Requirements
Do you have experience in Team development?, * PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience or MS in Computer Science or a related field with 12+ years of relevant experience
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Research experience or work in a top commercial AI research lab
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Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
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Proven track record of deploying AI/ML applications in a production environment at scale
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Familiarity with distributed computing patterns for training, serving, and persistence of state
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Experience integrating user feedback to establish agentic refinement and self-improving AI applications
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Experience in building and leading high-performing AI teams
Preferred Qualifications, Capabilities, and Skills:
- Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
Benefits & conditions
Pulled from the full job description
- Tuition reimbursement
- Health insurance
- Retirement plan, We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
