Help shape how intelligent technology delivers real outcomes across the business. In this role, you will turn challenging problems into secure, scalable applications powered by artificial intelligence and advanced analytics. You will work alongside experts across product, data, engineering, and governance to deliver solutions that matter. If you enjoy moving from concept to production and seeing measurable impact, you will thrive here. Join us as we build the next generation of intelligent capabilities.
As an AI Applications Developer in the AI Solutions Team, you will design, build, and deliver intelligent applications that transform business needs into measurable outcomes. You will partner with cross-functional teams to integrate modern model-driven capabilities into our platforms, from discovery through production. You will help ensure our solutions are secure, scalable, and aligned to responsible and compliant use. You will continuously learn and apply emerging approaches to improve quality, speed, and impact.
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 responses 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 teams 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 (indexing, retrieval strategies, grounding, and citations)
- Hands-on experience with containerized development and deployment (for example, Docker and orchestration platforms)
- Hands-on experience with Amazon Web Services core services for data and application workloads (for example, managed compute, storage, databases, and serverless)
- 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 Amazon Bedrock or similar managed model platforms and orchestration patterns
- 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
- Experience partnering with risk, controls, privacy, and compliance teams 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 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 (indexing, retrieval strategies, grounding, and citations)
- Hands-on experience with containerized development and deployment (for example, Docker and orchestration platforms)
- Hands-on experience with Amazon Web Services core services for data and application workloads (managed compute, storage, databases, serverless)
- 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
- Experience deploying and operating solutions on Kubernetes (for example, Amazon Elastic Kubernetes Service)
- Experience with Amazon Bedrock or similar managed model platforms and orchestration patterns
- 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
- Experience partnering with risk, controls, privacy, and compliance teams on model-enabled products
- Experience mentoring engineers and establishing team 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 — 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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