Note: The job is a remote job and is open to candidates in USA. Dice is seeking an Agentic AI Engineer at the Assistant Vice President or Vice President level to support the delivery of AI-enabled automation across operational workflows. The role involves building and enhancing automation workflows, integrating AI/ML models, and ensuring the reliability of production automation 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

Skills

• 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

Benefits

• Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).

Company Overview

Company H1B Sponsorship