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.