AI Automation Engineer Associate
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluru, HyderabadOn-siteDirect career pageEst. 30–50 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 a focus on intelligent document processing.
- Define success metrics, perform offline evaluation and production monitoring to improve AI solution quality, reliability, and accuracy.
- Embed Responsible AI controls, troubleshoot full solution stack issues, and produce health reports on adoption, accuracy, and exception rates.
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 experience with AI techniques such as prompt engineering and schema validation using Pydantic.
- Experience with Optical Character Recognition (OCR) and document digitization workflows, including tools like AWS Textract or equivalent.
- Work Experience Required: Minimum 5 years in relevant AI/ML automation domain.
Ideal Candidate Profile
- Experienced in developing multi-stage AI workflows using graph-based orchestration frameworks (e.g., LangGraph) and integrating external tools with strong validation and error handling.
- Skilled at defining objective success metrics, performing root-cause analysis on adoption and performance, and communicating across technical and non-technical stakeholders.
- Familiar with production readiness practices including testing, CI/CD, secure development, logging, metrics collection, and incident response for enterprise-grade AI deployments.