What are the responsibilities and job description for the Lead Solution Engineer - Lead Software Engineer - AI/ML, GenAI and Data Technology position at JPMorgan Chase?
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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 firm’s objectives. In 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
- Master’s 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.