Senior Lead Software Engineer (AI, Data, Cloud)

As a Senior Lead Software Engineer at JPMorganChase within Corporate Technology - Chief Technology Office, you serve as a senior individual contributor and technical leader on an agile team designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way.

You drive critical technology solutions across multiple technical areas, translate firmwide objectives into concrete technical designs, and raise the engineering bar through strong architecture, high-quality delivery, and operational rigor.

Job responsibilities


* Serves as a hands-on technical leader, contributing production code (primarily Python) and owning end-to-end delivery from design through production operations.


* Leads system and platform architecture for components supporting end-to-end ML workflows, including data transformation patterns, feature management integration, orchestration enablement, and model serving integration.


* Designs and develops agentic AI capabilities that analyze workloads and generate optimization recommendations, including evaluation approaches, monitoring, and feedback loops required for production readiness.


* Builds and maintains reusable APIs/SDKs and reference implementations that enable consistent platform adoption and reduce duplicated effort across teams.


* Partners with data scientists, ML engineers, and product teams to clarify requirements, define technical approaches, manage dependencies, and deliver measurable outcomes.


* Ensures platform reliability, scalability, performance, and cost efficiency through SLOs, proactive monitoring, incident response participation, root-cause analysis, and continuous improvement.


* Automates infrastructure provisioning, configuration, and CI/CD pipelines for platform services using Infrastructure as Code, promoting safe and repeatable deployments across environments.


* Drives adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, establishing consistent validation standards (correctness, performance, security) and promoting reuse of effective patterns.


* Produces architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.


* Mentors engineers through technical coaching, design reviews, and pairing, contributing to a strong culture of engineering excellence.


* Contributes to software engineering communities of practice and events that explore new and emerging technologies.

Required qualifications


* Formal training or certification on software engineering concepts and 5+ years applied experience.


* Demonstrated experience in system design, application development, testing, and operational stability for distributed systems and platform services.


* Strong hands-on depth in Python, including building and maintaining APIs/SDKs; ability to lead design and perform hig...