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JPMorganChase

engineering opportunity

AI Engineer - Software Engineer III

You will design and implement scalable agentic AI platforms and large language model-enabled services for enterprise workflows. You will also optimize system performance, ensure operational readiness, and collaborate with cross-functional teams to deliver reliable automation solutions.

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.

As an Software Engineer III at JPMorganChase within Enterprise Technology, you

will help design and deliver agentic AI platforms and large language

model-enabled services for enterprise use cases. You will contribute to

architecture decisions, build cloud-native services on AWS, and improve system

quality through evaluation and observability. You will help raise engineering

standards through strong code reviews, documentation, and collaboration across

teams.

Join a team building scalable, production-grade AI capabilities that help teams

across the firm deliver better outcomes through reliable automation and decision

support. You will work end-to-end, from design to implementation and operational

readiness, partnering closely with engineering and product stakeholders.

Job responsibilities

* Design and implement components of scalable, reliable agentic AI platforms

for enterprise workflows

* Build production-grade AI systems including agents, skills, memory patterns,

guardrails, and tool-use orchestration

* Implement retrieval and context-engineering patterns including embeddings,

semantic search, grounding, summarization, and prompt/version management

* Engineer cloud-native services on AWS using containers, serverless compute,

and event-driven messaging patterns

* Optimize latency, throughput, scalability, caching, context efficiency, and

cost across large language model workloads

* Develop secure, reusable APIs and integrations that connect AI capabilities

to enterprise platforms and workflows

* Implement evaluation, experimentation, regression testing, and observability

signals to improve quality and agent behavior over time

* Partner with product, platform, and engineering teams to translate

requirements into resilient, measurable deliverables

* Contribute to technical standards and code quality through design reviews,

documentation, and peer code reviews

* 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 3+

years applied experience

* Hands-on experience building and operating production large language model

applications, including agentic patterns and tool integrations

* Strong software engineering skills with experience delivering cloud-native

services on AWS using containers and serverless architectures

* Experience with retrieval-augmented generation approaches, including

embeddings and semantic search, and practical context engineering

* Proficiency building APIs and service integrations with strong attention to

reliability, security, and performance

* Experience establishing or contributing to evaluation, testing, and

monitoring practices for AI system quality and reliability

* Ability to troubleshoot complex issues across distributed systems, including

asynchronous workflows and event-driven architectures

* Strong collaboration skills with the ability to communicate technical

decisions and trade-offs clearly to partners

* 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

* Experience deploying and operating workloads on Kubernetes-based platforms

and container orchestration patterns

* Experience with experimentation frameworks and automated regression testing

for large language model quality

* Familiarity with large language model cost governance and performance

optimization techniques (for example, caching and context efficiency)

* Experience implementing guardrail patterns that support safe, reliable AI

behavior in production

* Experience building reusable platform components and reference

implementations adopted by multiple 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?

Software engineeringLarge language modelsAgentic AIAWSCloud-native servicesRetrieval-augmented generationSemantic searchPrompt engineeringAPI developmentSystem observabilityContainerizationServerless computeDistributed systemsPythonAI EngineerSoftware EngineerLarge Language ModelsCloud-nativeEmbeddingsPrompt managementServerlessAPIObservabilityEnterprise TechnologyAutomationDecision supportSoftware Development Life CycleGuardrailsEvent-driven architecturePerformance optimizationSecure codingAgileLLMsA/B Testing

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