Join a team where you can turn advanced machine learning and modern software engineering into solutions that improve how payments operations run globally. You will partner closely with business and technology stakeholders to deliver measurable outcomes—faster decisioning, better risk detection, and smarter workflows—while building reliable, production-ready services.
As an Applied AI/Machine Learning Engineer at JPMorganChase within Wholesale Payments Operations, you will build, deploy, and continuously improve AI-enabled products that solve complex, high-impact business problems. You will translate ambiguous opportunities into clear technical approaches, develop models and services that perform in real production conditions, and help shape responsible, scalable adoption of modern AI. You will work in a collaborative environment that values ownership, learning, and delivering outcomes.
Job responsibilities
Deliver end-to-end AI solutions by framing problems, defining success metrics, and shipping production releases that drive measurable operational impact
Partner with operations, product, and engineering stakeholders to design workflows that augment decision-making and reduce manual effort
Build and deploy cloud-based AI services with strong reliability, monitoring, and operational readiness
Develop and maintain data and evaluation pipelines that support repeatable training, testing, and continuous improvement in production
Apply machine learning techniques across text and documents (for example: natural language processing, classification, document understanding, and optical character recognition) to enable automation and decision support
Design AI-enabled automation with appropriate safeguards by defining interfaces, controlling behavior, and measuring quality, latency, and cost tradeoffs
Improve codebases through refactoring, testing, documentation, and engineering best practices to maintain long-term quality and maintainability
Diagnose model and service performance issues, identify root causes, and implement improvements based on evidence and feedback loops
Required qualifications, capabilities, and skills
Formal training or certification on applied artificial intelligence and machine learning concepts and 2+ years applied experience
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Hands-on Python experience building production-grade software (services, APIs, testing, and refactoring)
Experience deploying services to cloud infrastructure and supporting production constraints (reliability, observability, and latency)
Demonstrated ability to apply machine learning to real-world text and document use cases and evaluate model quality using clear metrics
Strong software engineering fundamentals, including object-oriented design and concurrency concepts
Experience driving work from problem definition through deployment and iteration, including communicating tradeoffs and progress to partners
Experience using AI coding assistants responsibly to improve delivery speed while maintaining code quality, security-mindedness, and test coverage
Strong communication skills and a collaborative working style
Preferred qualifications, capabilities, and skills
Experience with managed machine learning platforms (for example: Amazon SageMaker or equivalent) for training and deployment workflows
Experience building and operating large language model solutions, including structured evaluation approaches and guardrails
Experience productionizing natural language processing and/or document understanding solutions at scale
Experience designing AI-enabled automation workflows with measurable quality and ongoing monitoring in production
Familiarity with prompt design and iterative improvement practices that make AI behavior reviewable and reproducible
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About the company
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 for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the team
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.
Summary
Build, deploy and improve AI-enabled products for Wholesale Payments Operations, including cloud services, data and evaluation pipelines, and ML for text and documents. Requires 2+ years applied AI/ML experience, bachelor's in Computer Science or Engineering or equivalent, and hands-on Python production software.
Responsibilities
Deliver end-to-end AI solutions shipping production releases; partner with operations, product, engineering stakeholders; build and deploy cloud-based AI services; develop data and evaluation pipelines; apply ML to text and documents
Qualifications
Formal training or certification on applied AI and ML concepts; hands-on Python, services, APIs, testing; deploying to cloud; ML for text and document use cases; software engineering fundamentals
Education requirements
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Experience requirements
2+ years applied experience in applied artificial intelligence and machine learning; hands-on Python building production-grade software
Benefits
comprehensive health care coverage; on-site health and wellness centers; retirement savings plan; backup childcare; tuition reimbursement; mental health support; financial coaching