We're looking for a hands-on AI engineer eager to grow. Join the ranks of top talent at one of the world's most influential companies.
As an Applied AI ML Associate Senior -AI Engineer at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design, develop, and deliver components of our agentic AI and machine learning products. Working under the direction of senior engineers and the AIML Team Lead, you will turn well-defined problems into production-quality code, contributing to solutions that support IPB advisors and clients across international markets.
This is an Associate-level role and an integral part of the IPB Tech AIML team, reporting to the AIML Team Lead.
Job Responsibilities- Executes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML products
- Builds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineers
- Writes secure, high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Contributes to model evaluation, guardrail testing, and observability tasks to firm-wide Responsible AI standards
- Participates in agile ceremonies, code reviews, and technical design discussions
- Gathers, analyses, and draws conclusions from data to support feature delivery and troubleshooting
Learns continuously, using AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development
- Formal training or certification on AI/ML engineering concepts and 3+ years applied experience
- Proficiency in Python and a working grasp of modern software engineering practices (testing, version control, code review)
- Practical exposure to machine learning and/or Large Language Models (prompt engineering, RAG, or agentic frameworks) through study, projects, or work experience
- Familiarity with AI coding tools as part of the development workflow
- Understanding of CI/CD, containerisation, or cloud-native deployment concepts
- Ability to communicate technical concepts clearly to teammates and stakeholders
- BSc in Computer Science, Data Science, Engineering, or a related quantitative field
- Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)
- Experience building or deploying an ML or LLM-powered application (academic, internship, or professional)
- Exposure to financial services technology
- Familiarity with Databricks, Kubernetes, or comparable ML / cloud platforms
- Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates
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
- Formal training or certification on AI/ML engineering concepts and 3+ years applied experience
- Proficiency in Python
- Working grasp of modern software engineering practices (testing, version control, code review)
- Practical exposure to machine learning and/or Large Language Models (prompt engineering, RAG, or agentic frameworks)
- Familiarity with AI coding tools (e.g., Claude Code, GitHub Copilot)
- Understanding of CI/CD, containerisation, or cloud-native deployment concepts
- Ability to communicate technical concepts clearly to teammates and stakeholders
- BSc in Computer Science, Data Science, Engineering, or a related quantitative field
- Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional)
- Experience building or deploying an ML or LLM-powered application (academic, internship, or professional)
- Exposure to financial services technology
- Familiarity with Databricks, Kubernetes, or comparable ML / cloud platforms
- Familiarity with JPM-internal AI/ML infrastructure and governance (internal candidates)
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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