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 on AWS, integrating with multi-agent frameworks and software toolchains.
- Provide technical leadership and mentorship to software engineers, driving adoption and governance of AI-assisted engineering practices across SDLC to improve code quality and delivery speed.
- Collaborate on system design, SDK development, and build automation solutions to create a self-optimizing software delivery lifecycle ecosystem.
Minimum Requirements
- 5+ years of applied software engineering experience with formal training or certification in software engineering concepts.
- Strong hands-on skills in Python, Pydantic, FastAPI, LangGraph, Vector Databases, and experience deploying AI agent solutions on AWS (EKS, Lambda, S3, Terraform).
- Experience with LLM integration, prompt engineering, AI agent frameworks (Langchain, LangGraph, Autogen, MCP, A2A), and knowledge of CI/CD, Terraform, Kubernetes, Docker, and APIs.
- Demonstrated expertise in enterprise-authorized AI-assisted software development tools usage and governance, including responsible AI practices and security considerations.
Ideal Candidate Profile
- Experienced in architecting and building AI-native software delivery lifecycle frameworks leveraging multi-agent systems and LLM orchestration.
- Proven ability to lead and coach engineering teams on AI-assisted development processes and responsible AI usage within complex enterprise environments.
- Strong background in cloud-native development on AWS with familiarity or openness to extend skills into Azure or GCP and MLOps practices.