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JPMorganChase

engineering opportunity

Lead AI Applied ML Engineer

Lead a team of ML engineers to design, build, and productionize AI-driven financial crime monitoring solutions. Collaborate with cross-functional teams to integrate LLMs and risk models into scalable cloud-based architectures.

Jersey City, New Jersey, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

We have an exciting and rewarding opportunity for you to take your software

engineering career to the next level. We are building a next generation,

AI-driven Global Financial Crimes Strategic Monitoring solutions that detects

AML risk, regulatory violations, transactions risk, misconduct, and behavioral

anomalies.

As a Lead MLE on the team, you will design, build and productionize Risk

typologies/ features, data pipelines, supervised and unsupervised ML models, and

LLM risk explainability that operate at scale across high-volume banking

transactions. You will be responsible for leading a team of 4 to 5 ML engineers.

You will work at the intersection of Risk modeling, and NLP architectures,

inference systems, regulatory explainability and auditability. This is a

hands-on senior role requiring deep expertise in ML operations, LLM integration,

scalable ML systems and production grade engineering discipline. This role

offers a chance to collaborate with product managers, architects, data science

and operational teams, while also engaging in software engineering communities

to explore new and emerging technologies.

Job responsibilities

* Lead a small group of ML engineers

* Lead and influence team with development and operational standards adherence

* Design, build, collaborate, and operate ML models

* Design, build and operate LLM solutions

* Design and build feedback and accuracy measurement techniques for AI

solutions

* Design, build, and operate risk features data pipelines in Databricks

* Conduct monitoring to detect and alert drift, bias and performance

degradation

* Work closely within a cross-functional team following agile based processes

* Collaborate closely with Product Managers, SRE and Compliance SMEs to

continuously improve product adoption, reliability and outcomes

Required qualifications, capabilities, and skills

* 8+ years experience in cloud based applications with 4+ years of experience

as an MLE

* Strong foundation in Information Retrieval, Natural Language Processing and

* Expert in functional programming and JVM based languages- Python, Java

* Experience integrating models into cloud scale, microservices based

architectures

* Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit,

NeMo, Huggingface Transformers

* Hands-on experience with AWS services, and Databricks

* Experience/Exposure to SQL, NoSQL and messaging stacks

* Excellent verbal & written communication skills and bias for action and

ownership in early stage env

* Operational experience in supporting an enterprise grade ML application in

production

Preferred qualifications, capabilities, and skills

* Knowledge of Firm Databricks CDAO platform is good to have

* Experience with building production-grade ML pipelines, APIs and MLOps

frameworks

* Experience in AML, monitoring and investigations systems is a strong plus

* Good understanding of data engineering concepts, distributed systems, and

scalable architectures

* Familiarity with vector databases, model serving, and inference optimization

is a plus

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?

Machine LearningPythonJavaNatural Language ProcessingLLM IntegrationAWSInformation RetrievalMicroservicesSQLNoSQLRisk ModelingAgileApplied MLLLMNLPRisk MonitoringCloud ComputingData PipelinesRegulatory CompliancePytorchTensorflowHuggingfaceSoftware EngineeringFinancial CrimesModel DriftAPIPyTorchTensorFlowLLMs

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