Sr Lead Software Engineer - Agentic AI Solutions
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own design and implementation of LLM-driven AI agent services integrating with multi-agent frameworks and AWS infrastructure.
- Lead technical direction, mentorship, and AI-assisted engineering practice adoption to improve code quality and delivery outcomes.
- Drive decisions impacting product design, functionality, and operational processes with a focus on secure, scalable AI solutions.
Minimum Requirements
- 5+ years of applied experience in software engineering and formal training or certification in software engineering concepts.
- Strong hands-on skills in Python, Pydantic, FastAPI, LangGraph, Vector Databases, and AWS services (EKS, Lambda, S3, Terraform).
- Experience with LLM integration, AI agent frameworks (Langchain/LangGraph, Autogen, MCPs, A2A), and software development life cycle tools including CI/CD, Terraform, Kubernetes, Docker, and APIs.
- Demonstrated leadership in enterprise-authorized AI-assisted software development tools and responsible AI use including security and data sensitivity considerations.
Ideal Candidate Profile
- Experienced leader comfortable independently solving complex design and functionality challenges in AI-driven software engineering within cloud-native environments.
- Strong domain knowledge in AI technologies applied to software engineering, particularly in building and orchestrating AI agents on AWS.
- Proven ability to influence team practices around AI governance and validation standards ensuring secure, performant, and compliant AI-assisted development workflows.