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
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
Skills Required
- 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 with ability to validate and refine AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and adherence to 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 techniques (caching, 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 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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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