JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the limits of what s possible As a Lead Software Engineer at JPMorgan Chase within the Asset Wealth Management you are an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure secure 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 At JPMorgan Chase we are reimagining software engineering itself - by building an AI-Native SDLC Agent Fabric a next generated ecosystem of autonomous collaborative agents that transform every phase of the software delivery lifecycle We are forming a foundational engineering team to architect design and build this intelligent SDLC framework levering multi-agent systems AI toolchains LLM Orchestration A2A MCP and innovative automation solutions If you re passionate about shaping the future of engineering not just building better tools but developing a dynamic self-optimizing ecosystem this is the place for you Job responsibilities Works closely with software engineers product managers and other stakeholders to define requirements and deliver robust solutions Designs and Implement LLM-driven agent services for design code generation documentation test creation and observability on AWS Develops orchestration and communication layers between agents using frameworks like A2A SDK LangGraph or Auto Gen Integrates AI agents with toolchains such as Jira Bitbucket Github Terraform and monitoring platforms Collaborates on system design SDK development and data pipelines supporting agent intelligence Provides technical leadership mentorship and guidance to junior engineers and team members Required qualifications capabilities and skills Formal training or certification on software engineering concepts and 5 years applied experience Experience in Software engineering using AI Technologies Strong hands-on skills in Python Pydantic FastAPI LangGraph and Vector Databases for building RAG based AI agent solutions integrating with multi-agent orchestration frameworks and deploying end-to-end pipelines on AWS EKS Lambda S3 Terraform Experience with LLMs integration prompt context engineering AI Agent frameworks like Langchain LangGraph Autogen MCPs A2A Solid understanding of CI CD Terraform Kubernetes Docker and APIs Familiarity with observability and monitoring platforms Strong analytical and problem-solving mindset Preferred qualifications capabilities and skills Experience with Azure or Google Cloud Platform GCP Familiarity with MLOps practices including CI CD for ML model monitoring automated deployment and ML pipelines ABOUT US

📌 Lead Software Engineer - Ai Ml (Karnataka)
🏢 JPMorganChase
📍 Karnataka