Data Scientist Lead
JPMorgan Chase & Co. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 35–65 LPA
Posted on 17 Sept
Reach people at JPMorgan Chase & Co.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at JPMorgan Chase & Co. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and implement LLM-driven AI agent services focusing on code generation, documentation, testing, and observability on AWS.
- Develop orchestration and communication layers between AI agents and integrate them with toolchains like Jira, GitHub, and Terraform.
- Provide technical leadership and drive adoption of AI-assisted engineering practices to improve code quality, speed, and operational outcomes across teams.
Minimum Requirements
- Degree in Computer Science or Machine Learning related field (BE/B.Tech, ME/MS, or PhD).
- Strong hands-on experience with Python, Pydantic, FastAPI, LangGraph, and vector databases for RAG-based AI agent solutions on AWS (EKS, Lambda, S3, Terraform).
- Experience with LLM integration, prompt engineering, AI Agent frameworks such as LangChain, LangGraph, Autogen, MCPs, A2A.
- Solid understanding of Cloud platforms (AWS/Azure/GCP) and DevOps tools (CI/CD, Terraform, Kubernetes, Docker, APIs).
Ideal Candidate Profile
- Experienced in building and deploying large-scale AI agent and orchestration solutions heavily integrating with multiple AI frameworks and cloud services.
- Skilled in bridging data science with software engineering and DevOps to deliver scalable AI-driven software products.
- Capable leader who can mentor junior engineers and influence AI-assisted engineering practices adoption across multiple teams.