This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

 As a 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 experienceExperience 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 capabilitiesExperience 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.