Sr Lead Software Engineer AI Agent and Orchestration

Be an integral part of an Agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

As aSenior Lead Software Engineerat 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