Lead AI Engineer

EPAM Systems; Brasil; Presencial; BRL 250 000 - 420 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Healthcare benefits

Upskilling and certification courses

Paid time off and sick leave

LinkedIn Learning access

Resumo da oferta

EPAM Systems is seeking a Lead AI Engineer to advance insurance automation using agent-based AI technology. You will build smart automation platforms that support brokers, enabling them to focus on advisory work and stronger client engagement.

You will lead a team of engineers, design AI-driven solutions with LLMs and multi-agent systems, and drive production-ready AI products from discovery through deployment, measurement, and enhancement.

Qualificações

• 5+ years in software development, AI, or related technology
• At least 1 year supervising software teams
• Advanced Python and TypeScript skills for AI-based products
• Experience taking AI initiatives from exploration to live production
• Professional English skills at B2 level or higher

Responsabilidades

• Examine broking activities to identify where intelligent automation adds value
• Engineer and launch AI platforms for complex insurance processes
• Deliver AI solutions with LLMs, RAG, document understanding, and multi-agent designs
• Collaborate with brokerage, underwriting, and operations to translate pain points into AI products
• Manage end-to-end development path from discovery to release and improvement
• Establish methods for AI quality, validation, metrics, and production visibility
• Encourage rapid trials of new AI tech and tooling
• Introduce automation to improve throughput and service delivery
• Mentor engineers and promote stable, trustworthy AI apps
• Evaluate AI advances to address insurance business needs

Conhecimentos

Python

TypeScript

Leadership

AI/ML concepts

Communication

English proficiency

Ferramentas

CI/CD

Containers

Observability tools

Infrastructure as Code

LLMs/RAG tooling

Descrição da oferta de emprego

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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.