Build products that help teams deliver real business outcomes with agent-based artificial intelligence—safely, reliably, and with measurable impact. You will join a high-visibility platform team focused on accelerating engineering delivery through reusable capabilities, strong engineering practices, and a culture of thoughtful collaboration and continuous learning.
As a Software Engineer III at JPMorganChase within Enterprise Technology, AI and Machine Learning and Data Platforms, you will design, build, and operate platform capabilities that enable teams to develop, evaluate, and run agent-based solutions powered by large language models (LLMs). You will translate complex problems into production-grade services, partnering with product, engineering, data, security, and risk and compliance stakeholders to deliver measurable outcomes. You will take end-to-end ownership—from design and implementation through monitoring and continuous improvement—while maintaining a high bar for quality, reliability, and responsible use.
Job responsibilities
- Deliver end-to-end platform features for agent-based artificial intelligence use cases, from technical design through production deployment, monitoring, and ongoing improvements
- Build and maintain reusable services and components that enable teams to create, evaluate, and operate LLM-powered agents at scale
- Implement evaluation and testing approaches for LLM systems, including quality measurement, regression testing, and error analysis to improve reliability over time
- Develop observability capabilities such as tracing, metrics, logs, and analytics to support healthy operations and fast troubleshooting
- Apply security, safety, and governance-by-design patterns, including guardrails, access controls, and audit-ready operational practices aligned to security and governance requirements
- Collaborate with product managers and stakeholders to define success metrics, prioritize work, and deliver measurable business impact
- Partner across engineering, data, security, and risk and compliance stakeholders to ensure solutions are secure, stable, and scalable
- Produce clear documentation and reference implementations that accelerate adoption and promote responsible, consistent engineering practices
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proficiency in Python with strong software engineering fundamentals, including testing practices, version control, and code review
- Experience building and operating production services, including incident readiness, performance tuning, and operational stability for data-intensive systems
- Hands-on experience delivering machine learning and/or LLM-enabled features into production environments, including monitoring and post-deployment iteration
- Practical experience with prompt engineering and retrieval-augmented generation (RAG), including evaluation methods and quality measurement
- Ability to design maintainable systems and make sound technical decisions through ambiguity, balancing delivery speed, risk, and long-term sustainability
- Strong communication skills, including the ability to explain technical trade-offs to both technical and non-technical stakeholders
- Strong collaboration skills and demonstrated ability to partner effectively across teams to deliver outcomes
Preferred qualifications, capabilities and skills
- Experience with agent orchestration frameworks (for example, LangGraph, LlamaIndex, or comparable orchestration approaches) and LLM evaluation tooling
- Experience with continuous integration/continuous delivery (CI/CD) practices and production deployments using Docker and Kubernetes
- Familiarity with vector databases, embedding pipelines, and related approaches used in retrieval-augmented generation solutions
- Experience with cloud and machine learning platforms such as Amazon Web Services or Databricks (or comparable platforms)
- Experience contributing to governance, validation approaches, or guardrail frameworks for enterprise-scale artificial intelligence solutions
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 in software engineering concepts
- At least 3 years of applied software engineering experience
- Proficiency in Python
- Strong software engineering fundamentals, including testing, version control, and code review
- Experience building and operating production services, including incident readiness, performance tuning, and operational stability for data-intensive systems
- Hands-on experience delivering machine learning or LLM-enabled features into production, including monitoring and post-deployment iteration
- Practical experience with prompt engineering and retrieval-augmented generation, including evaluation methods and quality measurement
- Ability to design maintainable systems and make sound technical decisions under ambiguity
- Strong communication skills with technical and non-technical stakeholders
- Strong cross-functional collaboration skills
- Experience with agent orchestration frameworks such as LangGraph or LlamaIndex
- Experience with LLM evaluation tooling
- Experience with CI/CD, Docker, and Kubernetes
- Familiarity with vector databases and embedding pipelines
- Experience with cloud or machine learning platforms such as AWS or Databricks
- Experience contributing to AI governance, validation, or guardrail frameworks
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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.
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