Help shape how AI is adopted across global businesses by turning real workflows into practical solutions. You will work hands-on with stakeholders to identify high-impact opportunities and rapidly build, test, and scale solutions using internal tools. This role offers broad exposure across Markets, Payments, Securities Services, and Global Banking while building deep fluency in modern AI and machine learning capabilities. You will contribute to reusable libraries and playbooks that help teams deliver consistent, high-quality outcomes. Join a team focused on measurable commercial impact and an innovation-forward culture.
As an AI Business Enablement Senior Associate in the AI Enablement team within the Chief Data and Analytics Office (CDAO), you will partner closely with business stakeholders to learn daily workflows and deliver applied AI solutions. You will translate domain context into clear technical requirements and reusable components that scale across teams. You will design, build, and ship AI solutions from prototype through production in partnership with Technology and data science teams. You will contribute to shared libraries, including prompt libraries and skills, so persona-level content is consistent, high-quality, and easy to discover. You will help ensure solutions meet the firm’s resilience, controls, and risk standards.
Job Responsibilities
- Partner with stakeholders across Commercial and Investment Bank businesses to observe workflows and identify high-leverage generative AI opportunities
- Translate business domain context across Markets, Banking, Payments, and Securities Services into clear technical requirements and reusable components
- Prototype and deliver production AI solutions using internal tooling and systems, partnering with Technology and Chief Data and Analytics Office teams to meet resilience, controls, and risk standards
- Contribute to end-to-end design, development, and iteration across data, retrieval, prompting, orchestration, evaluation, and deployment for assigned use cases
Required Qualifications, Capabilities, and Skills
- Knowledge of financial services with exposure to one or more core commercial and investment banking domains, such as capital markets, advisory, treasury services, payments operations, markets, or securities services
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field
- Experience partnering with non-technical business stakeholders to scope, build, and deliver technical solutions, including solutions engineering or forward-deployed engineering
- Hands-on experience writing and shipping Python in a professional engineering environment
- Experience designing, building, or deploying large language model applications, including prompting, evaluation, retrieval-augmented generation, and agentic orchestration
- Familiarity with the modern generative AI stack, including large language model APIs, vector stores, embeddings, tool or function calling, multi-step agent design, and evaluation
- Analytical and problem-solving skills with strong attention to detail
- Verbal and written communication skills, with the ability to communicate effectively with business users, engineering counterparts, and management
About the Team
The AI Enablement team drives adoption of AI and accelerates the analytics agenda globally across Markets, Payments, Securities Services, and Global Banking by integrating AI into business workflows to deliver measurable commercial impact. The Chief Data and Analytics Office advances traditional AI and machine learning, as well as generative AI capabilities, by identifying priorities, focusing on high-impact use cases, setting large language model and agentic AI strategy, scaling solutions across lines of business, and fostering an innovation-focused, AI-first mindset.
#AIEnablement_jobs
Skills Required
- Knowledge of financial services with exposure to capital markets, advisory, treasury services, payments operations, markets, or securities services
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
- Experience partnering with non-technical business stakeholders to scope, build, and deliver technical solutions (solutions engineering or forward-deployed engineering)
- Hands-on experience writing and shipping Python in a professional engineering environment
- Experience designing, building, or deploying large language model applications, including prompting, evaluation, retrieval-augmented generation, and agentic orchestration
- Familiarity with the modern generative AI stack, including LLM APIs, vector stores, embeddings, tool/function calling, and multi-step agent design
- Analytical and problem-solving skills with strong attention to detail
- Strong verbal and written communication skills to interact with business users, engineering counterparts, and management
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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