Join one of the world's most innovative financial institutions and be part of a team that is redefining how artificial intelligence and full stack engineering power financial services for millions of customers. At JPMorganChase, we invest in our engineers, offering you the tools, technology, and talent network to grow your career while solving some of the most complex and high-impact challenges in the industry.
As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, you will design, build, and operate real-time AI agents and full stack applications that run in live production environments and enable critical business capabilities across the firm. You will bring hands-on production experience engineering intelligent, autonomous systems using modern AI frameworks, Java-based backend APIs, and React-driven front-end interfaces. Your contributions will directly shape how the firm leverages AI and engineering innovation to serve millions of customers every day.
Our team thrives on real-world problem solving, critical thinking, and a shared commitment to engineering excellence. You will work in a fully onsite environment in Plano, TX, where bold ideas are welcomed, continuous learning is encouraged, and your hands-on production experience makes a measurable difference across the organization.
Job responsibilities
- Design, build, and operate real-time AI agents in live production environments, applying hands-on experience with agent frameworks, neural cognitive task systems, and autonomous decision-making pipelines
- Build and maintain rule/workflow agents that execute multi-step decisions and actions (routing, approvals, escalations, retries, fallbacks).
- Implement workflow orchestration using BPMN/state machines/rules engines (or equivalent custom frameworks).
- Model and manage process state (idempotency, replays, timeouts, compensation/Saga patterns).
- Integrate agents with internal services via REST/gRPC, messaging/event streaming, and databases.
- Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down complex technical problems
- Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems, applying critical thinking to diagnose and resolve complex, real-world engineering challenges
- Leverage 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; contribute learnings and reusable patterns to improve broader team effectiveness
- Apply 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
- Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene, AI agent performance, and system architecture
- Participate in code reviews, applying structured problem-solving and critical thinking to provide constructive feedback that continuously elevates engineering standards across the team
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Demonstrated hands-on production experience building, deploying, and operating real-time AI agents in live environments — academic or project-only experience will not be considered
- Hands-on production experience with AI agent frameworks, neural cognitive task systems, and AI skillset orchestration in enterprise-scale backend engineering contexts
- Proficiency in Java for backend API development with demonstrated experience building and maintaining scalable, production-grade services and integrations
- Hands-on experience with React for building dynamic, responsive, and user-facing front-end applications integrated with backend AI and API services
- Demonstrated experience implementing and maintaining continuous integration pipelines using industry-standard tooling to support automated build, test, and deployment workflows
- 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
- Built deterministic agents that follow defined policies/rules to choose actions.
- Orchestrated multi-step workflows with state, timers, and exception paths.
- Implemented safe execution controls (validation, authorization, audit trails, rollback/compensation).
Preferred qualifications, capabilities, and skills
- Experience with cloud-based platforms and services such as AWS, Azure, or Google Cloud to support scalable AI agent deployment and backend infrastructure
- Familiarity with containerization and orchestration tools such as Kubernetes and Docker for managing production AI workloads
- Exposure to event-driven architectures and real-time data streaming technologies such as Kafka to support high-throughput AI agent pipelines
- AI/ML experience is a plus
- Knowledge of distributed systems design patterns, microservices architecture, and API development best practices in the context of AI-integrated systems
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
JPMorganChase Chicago, Illinois, USA Office
Chicago, IL, United States
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