Lead AI Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Lead AI Engineer to join our team. Our client is undertaking a substantial overhaul of its insurance technology framework, moving beyond conventional systems toward advanced, agent-powered AI architecture. This position places you within a geographically diverse team dedicated to engineering intelligent platforms that ease the burden of complex insurance operations, freeing brokers to invest more time in strategic thinking and building lasting client relationships.

Responsibilities

Uncover impactful ways to weave AI into different areas of Insurance Broking activity

Plan out, develop, and launch enterprise-scale AI platforms built to reduce complexity in insurance workflows

Construct AI-powered solutions that draw on LLMs, RAG, document handling, data extraction, categorization approaches, and agent-centric architecture

Team up directly with brokers, underwriters, and operations teams to uncover obstacles and design solutions capable of scaling

Hold end-to-end responsibility for AI products, spanning early ideation and prototyping to deployment, performance oversight, and continual improvement

Establish robust testing and assessment structures for AI platforms, covering benchmark performance, ongoing monitoring, and identification of hallucination issues

Lead swift experimentation efforts and advance progressive methodologies aligned with contemporary AI engineering trends

Elevate operational capacity, reduce time-to-completion, and improve overall business results through smart automation strategies

Serve as a mentor and technical resource for fellow engineers, encouraging dependable methods for AI system construction

Track evolving AI capabilities and put new technology to work solving problems particular to the insurance domain

Requirements

A Bachelor's or Master's degree in Computer Science, Engineering, or a similar area, or equivalent hands-on background

A minimum of 5 years of professional experience in Software Engineering, AI/ML, Machine Learning, or closely related fields

At least one year spent leading and overseeing development teams

Strong practical grasp of Python and TypeScript

Established track record of steering AI-powered products from early concept stages through to complete production deployment

Real-world experience implementing machine learning models and Large Language Models (LLMs) in operational contexts

Awareness of current software engineering methods, including CI/CD processes and containerized environments

Solid analytical abilities, dependable problem-solving instincts, and confident communication skills

Talent for presenting technical ideas in a manner that business audiences can readily grasp

Excellent English communication skills (B2 level or higher)

Nice to have

Background knowledge of (Re)Insurance Underwriting Operations to enhance familiarity with sector-specific processes

Grasp of Infrastructure as Code concepts, with an emphasis on security, to help ensure consistent and secure environment setups

Earlier work experience in the Insurance sector to add depth and relevance to AI solution development

Direct experience using Monitoring and Observability tools to sustain visibility into system performance following release

Proven Technical Leadership experience, including steering teams and defining long-range engineering direction

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.

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