Lead Software Engineer - Python and AI/ML

As an AIML Lead at JPMorgan Chase within the Asset & Wealth Management, you play a crucial role in an agile team focused on enhancing, building, and delivering cutting-edge technology products securely and at scale. Your primary responsibility is to develop vital technology solutions across various technical domains to support the firm's business goals. - Works closely with software engineers, product managers, and stakeholders to define requirements and deliver robust solutions. - Designs and implements 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. To qualify for this role, you should have: - Formal training or certification in software engineering concepts and a minimum of 5 years of 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. Preferred qualifications include: - Experience with Azure or Google Cloud Platform (GCP). - Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. If you are passionate about shaping the future of engineering and want to be part of a team that is revolutionizing software engineering, this opportunity at JPMorgan Chase is the perfect fit for you. As an AIML Lead at JPMorgan Chase within the Asset & Wealth Management, you play a crucial role in an agile team focused on enhancing, building, and delivering cutting-edge technology products securely and at scale. Your primary responsibility is to develop vital technology solutions across various technical domains to support the firm's business goals. - Works closely with software engineers, product managers, and stakeholders to define requirements and deliver robust solutions. - Designs and implements 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. To qualify for this role, you should have: - Formal training or certification in software engineering concepts and a minimum of 5 years of 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. Preferred qualifications include: - Experience with Azure or Google Cloud Platform (GCP). - Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. If you are passionate about shaping the future of engineering and want to be part of a team that is revolutionizing software engineering, this opportunity at JPMorgan Chase is the perfect fit for you.