Job Overview

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 Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

• Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using Agentic/GenAI frameworks in a fast-paced environment.
• Design and implement prompt and context engineering techniques to enhance the performance of LLM-based solutions.
• Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes.
• Build and maintain Data Lakes and data processing workflows using Databricks to support machine learning operations.
• Communicate technical concepts and results effectively to both technical and non-technical stakeholders.
• Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures.
• Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions.
• Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without the need for escalation.

Required Qualifications

• Advanced degree in Computer Science, Data Science, Mathematics, or a closely related field
• 3+ years of applied experience in data science, machine learning, or adjacent disciplines
• Strong Python skills, including Py Spark, Spark SQL, and Data Frames-based development
• Hands-on experience with LLM orchestration and agentic AI libraries; proven use of GenAI models (OpenAI or similar) to solve business problems
• Experience building AI agents, agentic frameworks, and MCP servers
• Experience designing/operating data lakes and data processing workflows on Databricks, taking solutions from POC to production quickly
• Strong problem-solving/troubleshooting and stakeholder communication skills; able to mentor teammates and leverage tools like Copilot to improve productivity and code quality

Preferred Qualifications

• Proficiency in all other AWS components—preferably AWS certified.
• Experience integrating AI/ML models into data pipelines is a plus.
• Experience in full stack development including Java/J2EE based microservices, React UI