Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry-leading financial institution. You will join a team transforming operations by leveraging advancements in agent-based AI and modern generative AI techniques.
As an Applied Artificial Intelligence and Machine Learning Associate at JPMorganChase within the Applied AI Research team in the Commercial & Investment Bank, you will contribute to building autonomous agent systems that solve high-impact business problems. You will help translate business needs into measurable outcomes by supporting applied research, model development, and enterprise-ready delivery. You will work in a collaborative environment that values ownership, learning, and responsible adoption of modern AI.
Job responsibilities
- Build and enhance generative AI and agent-based solutions that support automation of complex operational workflows
- Translate business problems into clear technical approaches, success metrics, and experiment plans with guidance from senior team members
- Develop and test agent workflows (planning, tool-use, and orchestration) to improve task reliability and measurable performance
- Implement reusable components (services, libraries, and reference patterns) that accelerate applied AI delivery across teams
- Execute rigorous evaluation practices, including offline/online testing, error analysis, and quality measurement to drive improvements
- Partner with stakeholders across business and technology teams to gather requirements, communicate tradeoffs, and support production readiness
- Contribute to responsible scaling by considering reliability, security-mindedness, and operational constraints in design and implementation
Required qualifications, capabilities and skills
- Formal training or certification on applied artificial intelligence and machine learning concepts and 2+ years applied experience
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field (or equivalent practical experience)
- Hands-on experience building production-grade software in Python, including testing, refactoring, and version control best practices
- Experience applying machine learning methods to real-world problems and evaluating results using clear, reproducible metrics
- Experience deploying or supporting services in a cloud environment with attention to reliability, observability, and latency
- Strong fundamentals in software engineering (data structures, algorithms, and object-oriented design) and applied problem solving
- Strong communication skills and ability to collaborate effectively with technical and non-technical partners
Preferred qualifications, capabilities and skills
- Experience building or evaluating autonomous agent systems (planning, tool-use, orchestration, or multi-agent coordination)
- Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock
- Experience building and evaluating large language model solutions using structured evaluation approaches and safety guardrails
- Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative AI
- Familiarity with financial services domains and operational processes, including risk-aware design and production constraints
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 applied artificial intelligence and machine learning concepts
- 2+ years of applied artificial intelligence or machine learning experience
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent practical experience
- Production-grade Python software development experience, including testing, refactoring, and version control
- Experience applying machine learning methods to real-world problems and evaluating results with reproducible metrics
- Experience deploying or supporting cloud services with reliability, observability, and latency considerations
- Strong software engineering fundamentals, including data structures, algorithms, and object-oriented design
- Strong communication and collaboration skills with technical and non-technical stakeholders
- Experience building or evaluating autonomous agent systems
- Experience with cloud-based machine learning platforms such as AWS SageMaker or Amazon Bedrock
- Experience building and evaluating large language model solutions with structured evaluations and safety guardrails
- Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative AI
- Familiarity with financial services domains and operational processes
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.
-
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.
-
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.
-
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.
Gallery
