About the role

What will you do at JPMorganChase?

Build what’s next in enterprise AI—solutions that materially improve how teams

make decisions, automate work, and serve internal customers. You will take

generative AI from concept to production, help set the standard for semantic

consistency across systems, and partner closely with stakeholders to turn

complex business needs into measurable outcomes. You will mentor talent and

influence technical direction across Corporate Technology and supported

Corporate Functions.

As an Applied AI and Machine Learning Lead in the Corporate Technology Data

Science and AI team, you will Build what’s next in enterprise AI—solutions that

materially improve how teams make decisions, automate work, and serve internal

customers.

In this role, you will

take generative AI from concept to production
and help set the standard for semantic consistency across systems. You will
partner closely with stakeholders to turn complex business needs into measurable
outcomes. You will mentor talent and influence technical direction across
Corporate Technology and supported Corporate Functions. If you enjoy solving
hard problems with real impact, this is the opportunity.
Job Responsibilities
* Build generative AI, agentic AI, and large language model solutions in Python
from proof of concept through production deployment with measurable outcomes
* Design context engineering approaches to improve model accuracy, latency,
reliability, and end-to-end user experience
* Lead enterprise semantic modeling strategy, including ontology standards,
governance practices, and lifecycle management
* Partner with domain experts to create scalable ontologies that represent
business entities, relationships, rules, and constraints
* Define semantic integration patterns across data pipelines, application
programming interfaces (APIs), data contracts, and experience layers to
resolve semantic conflicts
* Establish and govern a unified semantic layer that enables trusted analytics
across business intelligence, machine learning, and transactional systems
* Enable intelligent workflows and AI agents using ontology-driven context,
semantic reasoning, and orchestration approaches
* Build and maintain pipelines and frameworks for model training, evaluation,
optimization, monitoring, and machine learning operations
* Implement responsible AI practices, model risk controls, and governance
aligned to regulated environments
* Mentor engineers and data scientists, raising the bar on engineering rigor,
reuse, and continuous improvement across the team
Required Qualifications, Capabilities, and Skills
* Master’s degree in a data science-related discipline and eight years of
industry experience, or PhD in a data science-related discipline
* Demonstrated experience developing and deploying machine learning and
generative AI solutions using Python
* Proven ability to write and maintain production-quality code, including
documentation and maintainable design patterns
* Experience building automated testing practices, including unit tests, and
implementing continuous integration pipelines
* Experience building and managing data pipelines and processing workflows for
analytics and machine learning use cases
* Strong scientific thinking and structured problem-solving skills, including
hypothesis-driven analysis and metric definition
* Strong written and verbal communication skills, with the ability to explain
complex concepts to technical and non-technical stakeholders
* Demonstrated ownership and attention to detail when operating in ambiguous,
complex problem spaces
* Ability to work independently while collaborating effectively across product,
engineering, data, and business partners
Preferred Qualifications, Capabilities, and Skills
* Experience designing or governing semantic models and ontologies, including
taxonomy design and lifecycle governance
* Experience implementing retrieval-augmented generation, tool use, and
evaluation strategies for large language model applications
* Familiarity with responsible AI techniques, including bias testing,
explainability approaches, and model monitoring standards
* Experience designing scalable architectures for real-time or near-real-time
inference and intelligent workflow orchestration
* Experience influencing cross-functional technical direction and mentoring
engineers through design reviews and delivery execution
#LI-RB3
JPMorganChase, one of the oldest financial institutions, offers innovative
financial solutions to millions of consumers, small businesses and many of the
world’s most prominent corporate, institutional and government clients under the
J.P. Morgan and Chase brands. Our history spans over 200 years and today we are
a leader in investment banking, consumer and small business banking, commercial
banking, financial transaction processing and asset management.
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.
We recognize that our people are our strength and the diverse talents they bring
to our global workforce are directly linked to our success. We are an equal
opportunity employer and place a high value on diversity and inclusion at our
company. We do not discriminate on the basis of any protected attribute,
including race, religion, color, national origin, gender, sexual orientation,
gender identity, gender expression, age, marital or veteran status, pregnancy or
disability, or any other basis protected under applicable law. We also make
reasonable accommodations for applicants’ and employees’ religious practices and
beliefs, as well as mental health or physical disability needs. Visit our FAQs
[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about
requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including
Disability/Veterans
Our professionals in our Corporate Functions cover a diverse range of areas from
finance and risk to human resources and marketing. Our corporate teams are an
essential part of our company, ensuring that we’re setting our businesses,
clients, customers and employees up for success.

Which skills does this role require?

Generative AIMachine LearningPythonLarge Language ModelsSemantic ModelingOntology DesignData PipelinesAPI DesignModel DeploymentMLOpsSystem ArchitectureMentorshipStakeholder ManagementProblem SolvingTechnical LeadershipOntologyData ScienceEnterprise AIAPISoftware EngineeringCorporate TechnologyFinancial ServicesScalable ArchitectureUnit TestingContinuous IntegrationSemantic ReasoningBusiness IntelligenceTransactional SystemsLifecycle ManagementLLMs

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