Sr Lead Software Engineer - Python, Agentic AI Solutions
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of LLM-driven AI agent services and orchestration layers within JPMorgan Chase's AI-Native SDLC Agent Fabric.
- Integrate AI agents with software development toolchains (Jira, Github, Terraform) enhancing code generation, testing, and observability on AWS.
- Provide technical leadership and enforce governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational metrics across teams.
Minimum Requirements
- 5+ years of applied software engineering experience with formal training or certification.
- Strong hands-on experience in Python, Pydantic, FastAPI, LangGraph, AI agent frameworks (Langchain, Autogen), and AWS deployment (EKS, Lambda, Terraform).
- Experience integrating LLMs, prompt engineering, and multi-agent orchestration frameworks.
- Solid understanding of CI/CD, Terraform, Kubernetes, Docker, APIs, and observability/monitoring platforms.
Ideal Candidate Profile
- Experienced leader skilled in integrating AI technologies within enterprise-grade software development environments.
- Hands-on expertise in building and orchestrating scalable AI agent solutions using multi-agent frameworks and cloud-native tools (AWS preferred).
- Capable of enforcing responsible AI use policies, mentoring senior engineers on secure and compliant AI integration, and driving adoption of AI-assisted software engineering workflows.