Lead AI Engineer

EPAM Systems; Argentina; Presencial; ARS 1.800.000 - 3.600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Employee financial programs

LinkedIn Learning access

Global career opportunities

Paid time off

Descripción de la vacante

EPAM Systems is seeking a Lead AI Engineer to advance insurance technologies with agent-based AI. You will shape intelligent automation products, enabling brokers to focus on advisory work and client engagement.

Responsibilities include building resilient AI platforms, deploying LLMs, and collaborating with domain experts to deliver scalable solutions across the insurance value chain.

Formación

• 5+ years in software development, AI, or related technology.
• At least 1 year supervising software teams.
• Advanced Python and TypeScript for AI software.
• Experience bringing AI initiatives from exploration to production.
• Hands-on machine learning, predictive models, and LLMs.
• Knowledge of CI/CD and container deployment.

Responsabilidades

• Examine broking activities to identify where intelligent automation helps operations.
• Develop and launch AI platforms for insurance processes.
• Deliver AI-driven solutions using LLMs, RAG, and document understanding.
• Collaborate with brokerage, underwriting, and operations experts to translate pain points into AI products.
• Manage development lifecycle from discovery to release, measurement, and enhancement.
• Establish methods for AI quality, monitoring, and production observability.

Conocimientos

Python

TypeScript

AI/ML

CI/CD

Communication

English (B2)

Leadership

Critical thinking

Herramientas

Docker

Kubernetes

LLMs

RAG techniques

Descripción del empleo

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 from early exploration and proof of value through to live production use
• Hands-on understanding of machine learning approaches, predictive models, and Large Language Model technologies
• Knowledge of contemporary delivery processes, including CI/CD automation and deploying workloads through containers
• Strong critical-thinking and diagnostic abilities to tackle demanding business and engineering issues
• Confidence in communicating complex technical subjects in an accessible manner to business partners
• Professional written and spoken English skills at B2 level or higher

Nice to have

• Background in reinsurance or underwriting operations, with an understanding of the associated business procedures
• Awareness of insurance domain practices, platforms, operational models, and compliance requirements
• Experience defining secure, repeatable infrastructure environments through Infrastructure as Code methods
• Knowledge of observability and monitoring tools used to assess system health, responsiveness, reliability, and production behavior
• Experience providing technical direction, influencing architectural choices, and helping delivery teams achieve strong engineering outcomes

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn