Agentic AI Data Lead Software Engineer

Join our team as a Lead Data Products Software Engineer responsible for architecting, building, and scaling the Data Products Framework - a next-generation platform that enables users to discover, design, build, and productionize governed data products at enterprise scale.

You will lead a team of engineers, driving the technical strategy and execution of a platform that orchestrates the end-to-end data product lifecycle leveraging AI/Agentic AI, policy-based governance, and cloud-native architectures on AWS.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Marketing Process Automation Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities



* Lead, mentor, and grow a high-performing team of 5 - 7 engineers across multiple workstreams, fostering a culture of innovation, ownership, and technical excellence.


* Set the technical vision and engineering roadmap for the Data Products platform, aligning with firmwide priorities.


* Drive cross-functional collaboration with platform teams, domain Data Product Owners, AI/ML teams and governance teams.


* Architect and own the end-to-end technical design of the Data Products Studio - a scalable, enterprise-grade platform that orchestrates the discovery, design, build, and productionization of data products from the CCB Data Lake and Snowflake.


* Design the platform's AI/Agentic AI layer, leveraging intent agents, NLP Text-to-SQL, Knowledge Graphs (KAG), RAG, Vector Databases, and Agent-to-Agent (A2A) communication to enable intelligent, automated data product creation and natural language interaction with the data estate.


* Define the platform's integration architecture with various firmwide systems as appropriate.


* Establish and enforce architectural standards, design patterns, and engineering best practices across the team - ensuring scalability, security, resilience, and maintainability.


* Lead the design and development of Agentic AI capabilities that power the Data Products Framework - including autonomous discovery agents that profile and recommend data product candidates, design agents that auto-generate data contracts and schema recommendations, build agents that generate and optimize data pipelines, governance agents that auto-apply entitlements based on data classification, and quality agents that detect anomalies, drift, and trigger self-healing remediation.


* Architect the Agent-to-Agent communication layer enabling multi-agent orchestration across the data product lifecycle - from discovery through productionization.


* Leverage RAG (Retrieval Augmented Generation) a...