AI/ML Software Engineer II

About the role

As an AI/ML Engineering Associate at JPMorgan Chase within the Business Banking, you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various 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), 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: prevent errors and drive 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 applied experience.
• Experience of Gen AI builds, Agents, and MCP.
• Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.
• 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 (e.g., TensorFlow, 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 in 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 other related methods.
• Experience of all LLM models and their capabilities.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
• Prior experience in credit card marketing and in-market testing.
• Excellent communication and presentation skills along with strong interpersonal skills and 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.