Lead Solution Engineer Lead Software Engineer AIML, GenAI and Data Technology

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking in the Data Technology organization you are an integral part of an agile team dedicated to enhancing building and delivering trusted market-leading technology products in a secure stable and scalable manner. As a core technical contributor you will be responsible for implementing critical technology solutions across multiple technical areas supporting various business functions to achieve the firms your role as the Lead Solutions Engineer you will actively promote the adoption of AI/ML and GenAI platforms and Data Products ensuring standardized governance around AI and Data Lifecycle. You will collaborate with product architecture and platform teams to develop solutions for business use cases that facilitate platform adoption.

Job Responsibilities

• Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code and reviews and debugs code written by others
• Adds to team culture of diversity opportunity inclusion and respect
• Create solution prioritized use cases by evaluating approved architecture standards platform capabilities and governance frameworks to scale the onboarding on the GenAI ML and Data platforms.
• Participate in continuous prototyping of new technology to inform data technology teams on potential new tools to be integrated as part of the existing platforms.
• Partner with customer stakeholders and product to understand the business needs and translate them into technical details and implementation.
• Find opportunities for automation efficiencies and opportunities for a seamless customer experience supporting their GenAI AI/ML and Data initiatives.
• Keep tabs on best practices and technology advancements in the industry and influence their integration within the firm.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Extensive experience in AI/ML and GenAI solution design using different tools and techniques - GenAI frameworks RAG architecture Model Orchestration and Serving model Experimentation etc.
• Experience working with data science AI/ML product teams working on projects covering the AI/ML and GenAI lifecycle.
• Comfortable presenting to Product Leadership articulating team solutions cross-functional dependencies and risk exposures across technology architecture and data.
• Hands on experience in developing debugging and maintaining code in large-scale environments using modern programming languages (e.g. PySpark Python)

Preferred qualifications capabilities and skills

• Masters degree (or equivalent experience) in Computer Science Data Science Engineering or a related discipline.
• Experience working with snowflake data bricks feature platform.
• Knowledge of best practices of data management cataloguing lineage etc.