Data Scientist Lead - Agentic AI Solutions
JPMorgan Chase & Co. (company site, opens in a new tab)On-siteDirect career pageEst. 40–75 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement LLM-driven AI agent services for code generation, documentation, testing, and observability on AWS.
- Develop orchestration and communication layers between AI agents using frameworks like A2A SDK, LangGraph, or Auto Gen.
- Lead technical guidance and drive adoption of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
Minimum Requirements
- Degree: BE/B.Tech, ME/MS, or PhD in Computer Science or Machine Learning related field.
- Strong hands-on experience in Python, Pydantic, FastAPI, LangGraph, Vector Databases, and deploying AI agent solutions on AWS (EKS, Lambda, S3, Terraform).
- Experience integrating Large Language Models (LLMs) and working with AI agent frameworks such as Langchain, LangGraph, Autogen, MCPs, A2A.
- Deep knowledge in data structures, algorithms, machine learning, and expertise in at least one domain: NLP, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.
Ideal Candidate Profile
- Experienced in designing and delivering complex AI-driven agentic systems integrating multiple AI frameworks and cloud deployments.
- Strong technical leadership capabilities in AI engineering making measurable improvements in software development lifecycle automation.
- Deep specialization in machine learning and AI with proven ability to integrate LLMs and agent orchestration frameworks in cloud-native environments.