Be an integral part of an Agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Bank - Digital Client Relationship 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
You are responsible for designing, building, and operating intelligent agentic systems powered by LLM. Focus on developing robust agent architectures, orchestration frameworks, and multi-agent workflows that can reason, plan, use tools, and operate reliably at enterprise scale. Partner closely with platform, product, and domain teams to enable safe, observable, and extensible AI-driven capabilities across the organization.
Job responsibilities
Develop agent architectures, planning and reasoning workflows, and orchestration patternsDesign, build, and operate LLM-powered AI agents and multi-agent orchestration frameworksBuild conversational interfaces and programmatic APIs for interacting with agent orchestratorImplement routing, tracing, auditing, and observability, evaluation, testing, and feedback frameworks for agent decisions, tool calls, and outputsBuild and manage memory and context systems, including retrieval-augmented generationIntegrate with enterprise platforms (LLMSuite, Fusion, etc.), data sources, and servicesRegularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert and actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life CycleInfluences peers and project decision-makers to consider the use and application of leading-edge technologies
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceStrong proficiency in Python and agent development frameworksDeep understanding of large language models, APIs, and prompt engineeringExperience with agent architectures, multi-agent systems, and orchestrationExperience building conversational and programmatic interfaces for AI systemsKnowledge of vector databases, embeddings, and semantic searchExperience with agent evaluation, testing, tracing, and auditability in production environmentsFamiliarity with monitoring, observability, and governance for AI-driven systemsHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversight