Help shape how intelligent technology delivers real outcomes across the business. You will turn challenging problems into secure, scalable applications powered by artificial intelligence and advanced analytics. You will partner with experts across product, data, engineering, and governance to deliver solutions that matter. If you enjoy moving from concept to production and driving measurable impact, you will thrive here.
As an AI Applications Developer in the Intelligent applications team, you will design, build, and deliver production-grade solutions that apply model-driven capabilities to real business needs. You will partner with cross-functional teams to move from discovery through launch, with a focus on security, scalability, and responsible use. You will help improve reliability through systematic evaluation, monitoring, and iterative enhancement. You will contribute to shared patterns, documentation, and engineering practices that enable reuse and supportability.
Job responsibilities
- Design and deliver production-grade applications powered by large language models and advanced analytics
- Build agent-based systems that plan, decompose, and execute complex workflows across tools and services
- Develop and optimize prompts, evaluation methods, and guardrails to improve reliability and user outcomes
- Implement retrieval-augmented generation patterns to ground model outputs in trusted data sources
- Integrate applications with cloud services, data stores, and APIs to support end-to-end workflows
- Partner with product, data, engineering, and governance stakeholders to define requirements and deliver solutions
- Apply secure-by-design practices, including access controls, data protection, and auditability throughout development
- Create automated tests, monitoring, and observability to improve quality, safety, and operability in production
- Document architectures, decisions, and runbooks to enable supportability and reuse across teams
- Troubleshoot performance, latency, and model quality issues and deliver iterative improvements
- Stay current on advances in generative and agent-based approaches and translate them into practical solutions
Required qualifications, capabilities and skills
- Professional experience building and deploying modern applications in a production environment
- Hands-on Python development experience, including writing maintainable, testable code
- Demonstrated experience building intelligent applications using large language models, including prompt design and systematic evaluation
- Demonstrated experience implementing agent frameworks (for example, Google Agent Development Kit or similar)
- Demonstrated experience with retrieval-augmented generation solutions, including indexing, retrieval strategies, grounding, and citations
- Hands-on experience with containerized development and deployment (for example, Docker and orchestration platforms)
- Hands-on experience with cloud services for data and application workloads (for example, managed compute, storage, databases, and serverless services)
- Strong understanding of secure development practices, including identity and access controls and data handling principles
- Ability to translate ambiguous business problems into technical designs, milestones, and measurable outcomes
- Strong analytical and problem-solving skills, including root-cause analysis in production systems
Preferred qualifications, capabilities and skills
- Experience deploying and operating solutions on Kubernetes (for example, Amazon Elastic Kubernetes Service)
- Experience with managed model platforms and orchestration patterns (for example, Amazon Bedrock or similar)
- Experience building data pipelines and analytics workflows (for example, AWS Glue and Amazon Athena)
- Experience with relational database design and performance tuning (for example, Amazon Relational Database Service)
- Experience implementing model fine-tuning or adaptation techniques with clear evaluation and governance practices
- Experience partnering with risk, controls, privacy, and compliance stakeholders on model-enabled products
- Experience mentoring engineers and establishing team development standards and reusable patterns
About Us
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 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.
Skills Required
- Professional experience building and deploying modern applications in production environments
- Hands-on Python development experience writing maintainable, testable code
- Experience building intelligent applications with large language models, including prompt design and systematic evaluation
- Experience implementing agent frameworks, such as Google Agent Development Kit or similar
- Experience implementing retrieval-augmented generation solutions, including indexing, retrieval strategies, grounding, and citations
- Hands-on experience with containerized development and deployment, such as Docker and orchestration platforms
- Hands-on experience with cloud services for data and application workloads
- Strong understanding of secure development practices, identity and access controls, and data handling principles
- Ability to translate ambiguous business problems into technical designs, milestones, and measurable outcomes
- Strong analytical and problem-solving skills, including production root-cause analysis
- Experience deploying and operating solutions on Kubernetes, such as Amazon Elastic Kubernetes Service
- Experience with managed model platforms and orchestration patterns, such as Amazon Bedrock
- Experience building data pipelines and analytics workflows, such as AWS Glue and Amazon Athena
- Experience with relational database design and performance tuning, such as Amazon Relational Database Service
- Experience implementing model fine-tuning or adaptation techniques with evaluation and governance practices
- Experience partnering with risk, controls, privacy, and compliance stakeholders on model-enabled products
- Experience mentoring engineers and establishing development standards and reusable patterns
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.
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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