Senior Lead Software Engineer, Python, AI ML

JPMorgan Chase

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Work type
On-site
Location
Mumbai, Maharashtra, India
Posted
8 days ago

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Salary context

How this pay compares to similar roles

Similar $190k
$142k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $163,500–$216,037.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 479 open roles on FindRole.

Listed pay typically runs $142,500–$205,000 across 245 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Python, AI ML

As a Sr Lead Software Engineer at JPMorgan Chase within the Asset & Wealth Management division, you will join an agile team dedicated to enhancing and delivering cutting-edge technology products. Your primary focus will be on architecting and implementing an AI-Native SDLC Agent Fabric, leveraging multi-agent systems and advanced automation solutions. Day-to-day responsibilities include designing LLM-driven agent services for various development tasks, developing orchestration layers using frameworks like A2A SDK and LangGraph, and integrating these agents with tools such as Jira, Bitbucket, and Terraform. You will also collaborate on system design and mentor junior engineers. The role requires expertise in Python, FastAPI, Vector Databases, and AWS services like EKS and Lambda, along with a solid understanding of CI/CD pipelines, Kubernetes, Docker, and observability platforms.

What you'll do

  • Designs and implements LLM-driven agent services for various software development tasks.
  • Develops orchestration layers using frameworks like A2A SDK to enable communication between AI agents.
  • Integrates AI agents with existing toolchains such as Jira, Bitbucket, Github, and monitoring platforms.
  • Provides technical leadership and mentorship to junior engineers on the team.
  • Builds data pipelines supporting agent intelligence in collaboration with system design teams.

What we're looking for

  • Extensive experience in software engineering using AI technologies
  • Proficient in Python, Pydantic, FastAPI, and vector databases for RAG-based solutions
  • Expertise in integrating LLMs with multi-agent orchestration frameworks like Langchain/LangGraph
  • Hands-on experience with AWS services including EKS, Lambda, S3, and Terraform
  • Solid understanding of CI/CD pipelines, Kubernetes, Docker, and APIs
  • Familiarity with observability and monitoring platforms for AI systems
  • Experience in MLOps practices, including CI/CD for ML and automated deployment

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