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 patterns
• Design, build, and operate LLM-powered AI agents and multi-agent orchestration frameworks
• Build conversational interfaces and programmatic APIs for interacting with agent orchestrator
• Implement routing, tracing, auditing, and observability, evaluation, testing, and feedback frameworks for agent decisions, tool calls, and outputs
• Build and manage memory and context systems, including retrieval-augmented generation
• Integrate with enterprise platforms (LLMSuite, Fusion, etc.), data sources, and services
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves 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 Cycle
• Influences 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 experience
• Strong proficiency in Python and agent development frameworks
• Deep understanding of large language models, APIs, and prompt engineering
• Experience with agent architectures, multi-agent systems, and orchestration
• Experience building conversational and programmatic interfaces for AI systems
• Knowledge of vector databases, embeddings, and semantic search
• Experience with agent evaluation, testing, tracing, and auditability in production environments
• Familiarity with monitoring, observability, and governance for AI-driven systems
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced 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