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JPMorganChase

engineering opportunity

Software Engineer II - AI Research

You will design and build Python-based platforms and Generative AI applications while collaborating with researchers to scale production-grade solutions. The role involves automating cloud infrastructure and streamlining development workflows to enhance operational efficiency.

Jersey City, New Jersey, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

Bring your engineering skills and Join JPMorgan Chase where you will build and

ship production AI at global scale. As a Software Engineer III on JPMorgan

Chase’s AI/ML Data Platforms — AI Research team, you’ll design Python‑first

platforms and GenAI apps (including agents), turn research into secure, scalable

products, and automate across cloud with modern CI/CD and IaC. Partner with AIR

and MLCoE to shape how AI is built and deployed across the firm.

As a Software Engineer II at JPMorgan Chase within the AI/ML Data Platforms - AI

Research team, you are an integral part of a team that works to enhance, build,

and deliver trusted market-leading technology products in a secure, stable, and

scalable way. You will be responsible for delivering critical technology

solutions across multiple technical areas within various business functions in

support of the firm’s business objectives. In this context, your primary clients

will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE)

Job responsibilities

* Develops and writes software applications for AI/ML platforms as well as

building Generative AI based applications including Agents – particularly

strong in Python.

* Utilizes creative problem-solving skills to design, develop, and troubleshoot

technical solutions, thinking beyond conventional approaches to innovate and

resolve complex technical challenges.

* Has an interest and familiarity with agent-based programing, especially with

newest techniques

* Proactively identifies opportunities to streamline, eliminate, or automate

the remediation of recurring issues and developer challenges, enhancing the

operational efficiency and excellence of software applications and systems.

* Uses CI/CD to deliver public and private cloud platforms, as well as

familiarity with experimentation environments (e.g. Jupyter Notebooks)

* Works closely with Data Scientists and AI Researchers to advance experiments

into more robust, scalable, highly optimized production-grade apps.

* Adds to team culture of opportunity, inclusion, and respect/

* Leverages enterprise-authorized AI coding assist tools within the work

environment to improve code quality, delivery speed, and productivity across

complex deliverables (e.g., code generation/refactoring, unit test creation,

documentation), while validating outputs through peer review, automated

testing, and secure coding standards; contributes learnings and reusable

patterns to improve broader team effectiveness.

* Applies knowledge of tools within the Software Development Life Cycle

toolchain, including enterprise-authorized AI-assisted development and

automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

* Formal training or certification on software engineering concepts and 2+

years of applied experience

* Practical experience in Infrastructure as Code development, ideally using

Terraform.

* Hands-on practical experience in application development, testing, and

ensuring operational stability.

* Advanced proficiency in one or more programming languages, with a strong

focus on Python.

* Expertise automation and continuous integration, delivery, and testing

(CI/CD/CT) methods.

* Comprehensive understanding of the Software Development Life Cycle (SDLC) and

Model Development Life Cycle (MDLC).

* Deep understanding of agile methodologies and basic proficiency in

architectural frameworks.

* Demonstrated proficiency in platform development and technical processes

within a technical discipline (e.g., cloud, artificial intelligence, machine

learning, etc.).

* Hands-on experience using enterprise-authorized AI-assisted software

development tools within the work environment (e.g., for coding, test

creation, troubleshooting, or documentation) with demonstrated ability to

critically evaluate, validate, and refine AI-generated outputs for

correctness, performance, and security.

* Understanding of responsible AI use in engineering workflows, including data

sensitivity considerations, secure handling of inputs/outputs, and adherence

to resiliency and security expectations; ability to guide peers on safe and

effective usage within team practices.

Preferred qualifications, capabilities, and skills – you can only have 4

bullets preferred

* Demonstrates initiative in learning and adapting to new technologies and

methodologies, as well as demonstrable mastery of AI tools to enhance

productivity and efficiency in daily tasks.

* Self-motivated and proactive, with a strong ability to identify issues and

challenge the status quo.as well as proven problem-solving skills with a

focus on innovation and continuous improvement.

* Experience in / exposure to a major business facing integrated application

environment (e.g. risk, trading) and working with business facing developers

* Excellent communication and collaboration skills to work effectively within

cross-functional teams.

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?

PythonGenerative AIMachine LearningTerraformInfrastructure as CodeCI/CDCloud platformsAgent-based programmingSoftware developmentData scienceAutomationJupyter NotebooksAgile methodologiesTechnical troubleshootingSecure codingModel Development Life CycleSoftware EngineerAI ResearchCloudAgileSDLCMDLCData ScienceAgentsProduction-gradePlatform developmentFinancial technologyLLMsA/B Testing

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