Software Engineer II - Generative AI and Agentic AI

As a Software Engineer II at JPMorgan Chase within the Business Banking team, you will have the opportunity to advance your career in software engineering by working on trusted, market-leading AI technology products. Your responsibilities will include: - Defining the AI-driven validation roadmap across Business Banking. - Architecting and embedding end-to-end AI checks into campaign authoring and execution workflows for all channels. - Building AI/ML models to enhance final reads, incorporating external signals and trend analysis for actionable recommendations. - Partnering with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub-LOBs. - Automating quality metrics and evolving the learning agenda using internal benchmarks and external best practices. - Providing executive-ready insights, recommendations, and status updates on the portfolio roadmap and key learnings. - Integrating with upstream and downstream systems to ensure seamless tooling and support Transformation objectives. - Championing quality-as-a-service by preventing errors and driving continuous improvement in validation processes. - Demonstrating customer obsession by understanding and improving the end-to-end customer experience. Qualifications and skills required for this role: - Formal training in software engineering concepts and 2+ years of applied experience. - Experience with Gen AI builds, Agents, and MCP. - Proficiency in Python, typescript, streamlit, and UI design. Intermediate Python skills are 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 like 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 with all LLM models and their capabilities. - Experience with building and deploying ML models on cloud platforms such as AWS and tools like Sagemaker, EKS, etc. - Prior experience in credit card marketing and in-market testing. - Excellent communication and presentation skills with strong interpersonal skills to translate technical concepts into actionable business strategies. - Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation. This role is at a Mid Level experience level. As a Software Engineer II at JPMorgan Chase within the Business Banking team, you will have the opportunity to advance your career in software engineering by working on trusted, market-leading AI technology products. Your responsibilities will include: - Defining the AI-driven validation roadmap across Business Banking. - Architecting and embedding end-to-end AI checks into campaign authoring and execution workflows for all channels. - Building AI/ML models to enhance final reads, incorporating external signals and trend analysis for actionable recommendations. - Partnering with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub-LOBs. - Automating quality metrics and evolving the learning agenda using internal benchmarks and external best practices. - Providing executive-ready insights, recommendations, and status updates on the portfolio roadmap and key learnings. - Integrating with upstream and downstream systems to ensure seamless tooling and support Transformation objectives. - Championing quality-as-a-service by preventing errors and driving continuous improvement in validation processes. - Demonstrating customer obsession by understanding and improving the end-to-end customer experience. Qualifications and skills required for this role: - Formal training in software engineering concepts and 2+ years of applied experience. - Experience with Gen AI builds, Agents, and MCP. - Proficiency in Python, typescript, streamlit, and UI design. Intermediate Python skills are 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 like 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