AI/ ML Software Engineer II

Role Overview

As an AI/ML Engineering Associate at JPMorgan Chase within Business Banking, you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. You will implement critical technology solutions across technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability.

Job Responsibilities

• Define the AI-driven validation roadmap across Business Banking.
• Architect and embed end-to-end AI checks into campaign authoring and execution workflows for all channels.
• Build AI/ML models to enhance final reads (pre-launch approvals) by incorporating external signals and trend analysis to generate actionable recommendations.
• Partner with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub-LOBs.
• Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.
• Provide executive-ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.
• Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.
• Champion quality-as-a-service by preventing errors and driving continuous improvement in validation processes.
• Demonstrate customer obsession by understanding and improving the end-to-end customer experience.

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts and 1+ years of applied experience.
• Experience building GenAI applications, agents, and MCP.
• Experience with one or more programming languages such as Python, TypeScript, Streamlit, or UI design; intermediate Python is required.
• Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
• Hands-on experience with machine learning and deep learning methods.
• Proficiency in AI and machine learning frameworks such as TensorFlow and PyTorch.
• Strong programming skills in languages such as Python, R, or Java.
• Ability to design and implement complex algorithms for recommendation systems and trend analysis.
• Experience with data integration and real-time data processing.
• Understanding of marketing and campaign testing processes.

Preferred Qualifications

• Deep understanding of Large Language Model (LLM) techniques, including agents, planning, reasoning, and related methods.
• Experience with multiple LLM models and their capabilities.
• Experience building and deploying ML models on cloud platforms such as AWS, including tools such as SageMaker and EKS.
• Prior experience in credit card marketing and in-market testing.
• Excellent communication and presentation skills, with strong interpersonal skills and the ability to translate technical concepts into actionable business strategies.
• Demonstrated initiative and creativity, with a proven track record in leading AI tool development and implementation.