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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

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