Join our international team as a Lead AI Engineer and play a key role in advancing the insurance sector with agent-based AI technology. You will develop smart automation products that handle sophisticated insurance activities, giving brokers greater capacity to focus on advisory work and stronger client engagement

Responsibilities

Examine broking activities to determine where intelligent automation can deliver the greatest operational benefit
Create, engineer, and launch resilient AI platforms designed to handle intricate insurance business processes
Deliver AI-driven solutions that combine LLMs, RAG techniques, document understanding, data extraction, categorization, and multi-agent designs
Engage with brokerage, underwriting, and operations specialists to convert operational pain points into practical, scalable AI products
Manage the complete development path for AI offerings, starting with discovery and prototypes and continuing through release, measurement, and enhancement
Create rigorous methods for assessing AI quality, incorporating validation, system metrics,



production visibility, and detection of inaccurate model outputs
Encourage an innovation-focused culture through rapid trials of new AI technologies, engineering approaches, and tooling
Introduce automation capabilities that improve throughput, accelerate service delivery, and strengthen organizational effectiveness
Coach engineering colleagues while establishing sound practices for creating stable and trustworthy AI applications
Evaluate developing AI advancements and use suitable technologies to address insurance-specific business needs

Requirements

5 or more years of industry experience in software development, AI, machine learning, or another relevant technology area
A minimum of one year spent supervising or coordinating software engineering teams
Advanced Python and TypeScript skills for building, extending, and supporting AI-based software products
Demonstrated ability to bring AI initiatives

📌 Lead AI Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina