Software Engineer II - Generative AI and Agentic AI

Software Engineer II - Gen AI/ Agentic AI

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer II 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 in software engineering concepts and 2+ years of 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. Experience Level Mid Level