AI Automation Engineer Associate
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and operate production-grade AI assistants automating high-volume knowledge work with focus on intelligent document processing.
- Define success metrics, continuously improve quality via offline evaluation and production monitoring, and embed Responsible AI controls.
- Troubleshoot full AI automation stacks, including model, retrieval, tool integration, and post-processing layers, ensuring operational readiness and stakeholder reporting.
Minimum Requirements
- At least 5 years of hands-on experience in applied AI, machine learning, or AI-powered automation with production or production-like delivery.
- Strong proficiency in Python including asynchronous programming and software engineering best practices.
- Experience with Large Language Models, prompt engineering, graph-based AI workflow orchestration (e.g., LangGraph), Pydantic schema definition, and document digitization including OCR tools (e.g., AWS Textract).
- Work Experience Required: Minimum 5 years in relevant AI/ML or automation roles; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in delivering enterprise-grade AI-powered automation solutions with accountability for production service health and operational excellence.
- Skilled in orchestrating multi-stage AI workflows combining language, multimodal models, and external tool integration in financial or similarly complex environments.
- Capable of defining and monitoring objective success metrics and performing structured root-cause analyses to optimize adoption, accuracy, and reliability.