Overview

This role supports the ongoing delivery of agentic AI–enabled automation across document-heavy and operational workflows.

Responsibilities

• Assist in building and enhancing agentic AI workflows that automate multi-step processes such as document intake, data extraction, validation, enrichment, and downstream routing.
• Support integration of AI / ML and LLM-based models for document classification, entity extraction, and metadata generation, and connect those outputs into end-to-end automated workflows.
• Build and maintain automation workflows and system integrations across document platforms, workflow engines, and operational systems.
• Assist with API integrations and data movement, ensuring secure, reliable flow between platforms with appropriate controls and auditability.
• Support production automation by monitoring workflows, troubleshooting failures, addressing defects, and improving reliability through logging, retries, and validation checks.
• Work closely with Product, Engineering, and Operations to translate known business requirements into implemented automation and to support ongoing enhancements.
• Contribute to documentation and standards so workflows are maintainable and not dependent on contractor knowledge.

Qualifications

• 6+ years of experience in data science, machine learning or AI-related roles, with 3+ years leading cross-functional initiatives at scale
• Strong understanding of LLMs, data science, AI/ML, and modern AI architectures, including model evaluation, context engineering, and agentic workflow automation
• Hands-on exposure to AI-driven data extraction, document processing, or NLP-based workflows.
• Familiarity with workflow orchestration, rules-based automation, and system integrations.
• Comfortable working within established patterns and under technical direction.
• Execution-oriented, able to support existing platforms and improve them incrementally.