AI/ML Software Engineer II

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 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 presenta...