As an Software Engineer III at JPMorgan Chase within Corporate Technology, you will help design and deliver agentic AI platforms and large language model-enabled services for Finance use cases. You will contribute to technical design, 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.
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 fundamentals with ability to deliver cloud-native services using containers and serverless designs on AWS
- Advanced python programming skills with experience writing production quality code
- Experience with retrieval-augmented generation approaches, including embeddings and semantic search, and practical context engineering
- Proficiency building React based front end experience that integrates backend API and provides 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 architecture
- 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
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.Skills Required
- Formal training or certification in software engineering concepts and 3+ years of applied experience
- Hands-on experience building and operating production large language model applications, including agentic patterns and tool integrations
- Strong software engineering fundamentals and experience delivering cloud-native services using containers and serverless designs on AWS
- Advanced Python programming skills and experience writing production-quality code
- Experience with retrieval-augmented generation, embeddings, semantic search, and context engineering
- Proficiency building React-based front-end experiences integrating backend APIs, with 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 distributed systems, including asynchronous workflows and event-driven architectures
- Strong collaboration and communication skills, including explaining technical decisions and trade-offs
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating their outputs
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- 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, including caching and context efficiency
- Experience implementing guardrail patterns for safe, reliable AI behavior in production
- Experience building reusable platform components and reference implementations adopted by multiple teams
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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