Agentic AI Engineer - Assistant Vice President / Vice President

This role supports the ongoing delivery of agentic AI–enabled automation across document-heavy and operational workflows. The intent is to move critical automation work off a high-cost contractor and into a lower-cost, full-time role without losing execution capability or momentum. The focus is on building and supporting automation. This is hands-on delivery work that is well understood, repeatable, and already embedded in core operational processes.

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

Requirements

6+ years of experience in data science, machine learning or AI-related roles, with 3+ years leading cross-functional initiatives at scale; Experience operationalizing AI/ML or advanced analytics solutions in production, ideally within financial services, fintech, or data-driven platforms; Strong understanding of LLMs, data science, AI/ML, and modern AI architectures, including model evaluation, context engineering, and agentic workflow automation; Experience designing and implementing agentic AI workflows, including multi-step AI agents that automate complex processes and integrate with enterprise systems, data, and APIs; Experience building or supporting production automation, ideally in document-heavy or regulated environments; 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