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
JPMorganChase New York, New York, USA Office
270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
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