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

Required qualifications, capabilities, and skills

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

Preferred qualifications, capabilities, and skills

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