Sr Lead Software Engineer - Agentic AI Solutions
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted on 1 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 multi-agent orchestration on AWS.
- Integrate AI agents with development toolchains (e.g., Jira, Bitbucket, Github, Terraform) and monitoring platforms to enhance engineering workflows.
- Provide technical leadership and drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes across teams.
Minimum Requirements
- 5+ years of software engineering experience with applied expertise in AI technologies.
- Strong hands-on Python skills with frameworks like Pydantic, FastAPI, LangGraph, and vector databases for RAG-based AI agent solutions.
- Experience with AWS services (EKS, Lambda, S3) and infrastructure as code tools like Terraform; plus CI/CD, Kubernetes, Docker, and API knowledge.
- Proven experience leading use of enterprise AI-assisted software development tools and knowledge of responsible AI engineering practices (security, data sensitivity).
Ideal Candidate Profile
- Experienced in full lifecycle development of AI agent solutions using multi-agent orchestration frameworks on cloud-native AWS environments.
- Able to autonomously solve complex design and functionality issues with minimal oversight, mentoring junior engineers and leading technical adoption.
- Skilled at setting and enforcing standards for AI-assisted development workflows focusing on security, compliance, and measurable quality improvements.