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 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.