Lead AI Engineer

EPAM Systems; Mexico; On-site; PHP 8,777,000 - 13,166,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Global career opportunities

LinkedIn Learning access

Job summary

EPAM Systems is seeking a Lead AI Engineer to guide the development of enterprise-grade AI platforms for the insurance domain. You will own the AI product lifecycle, from concept through deployment, collaborating with brokers, underwriters, and operations to deliver scalable solutions.

You will lead a distributed team, implement ML models with LLMs, and establish testing, monitoring, and performance benchmarks while staying current with AI trends.

Qualifications

• Minimum 5 years of professional software engineering or AI/ML experience.
• At least 1 year leading and managing development teams.
• Proficient in Python and TypeScript; experience with LLM-based products.
• Hands-on model deployment, MLOps practices, and containerized cloud deployments.
• Strong communication skills and ability to explain technical concepts to business stakeholders.

Responsibilities

• Identify opportunities to apply AI across Insurance Broking domain.
• Design, build, and deploy enterprise AI platforms to simplify processes.
• Develop AI tools leveraging LLMs, RAG, and document processing.
• Collaborate with brokers, underwriters, and operations to scale solutions.
• Own AI product journey from concept to production, with monitoring and improvements.
• Mentor engineers and promote reliable AI system development.

Skills

Python

TypeScript

AI/ML

LLMs

CI/CD

Team leadership

Communication

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

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 in the midst of a significant transformation of its insurance technology approach, transitioning from legacy platforms to sophisticated, agent-based AI systems. In this role, you'll join a globally distributed team focused on constructing smart platforms that simplify complex insurance functions, giving brokers more room to focus on strategic thinking and cultivating client relationships.

Responsibilities

• Recognize meaningful opportunities to apply AI across various functions within the Insurance Broking domain
• Design, build, and deploy enterprise-grade AI platforms aimed at simplifying intricate insurance processes
• Build AI-driven tools that harness LLMs, RAG, document processing, data extraction, classification methods, and agent-based system design
• Collaborate directly with brokers, underwriters, and operations personnel to surface challenges and engineer solutions built for scale
• Take ownership of the full AI product journey, from concept development and prototyping through launch, performance tracking, and continuous enhancement
• Develop rigorous testing and evaluation frameworks for AI systems, including performance benchmarking, monitoring, and hallucination detection capabilities
• Spearhead rapid experimentation cycles and drive forward-thinking practices grounded in current AI development standards
• Increase operational throughput, minimize turnaround periods, and drive greater business productivity via intelligent automation solutions
• Offer mentorship and technical guidance to engineering peers, promoting reliable approaches to AI system development
• Stay ahead of emerging AI trends and apply new technologies to address insurance-specific business problems

Requirements

• A Bachelor's or Master's degree in Computer Science, Engineering, or an equivalent field, or comparable practical experience
• At least 5 years of relevant professional experience in Software Engineering, AI/ML, Machine Learning, or adjacent disciplines
• A minimum of one year of experience leading and managing development teams
• Proficient working knowledge of Python and TypeScript
• Proven history of guiding AI-powered products from conceptual stages through to full-scale production launch
• Hands-on background applying machine learning models and Large Language Models (LLMs) within practical use cases
• Familiarity with modern software engineering techniques, including CI/CD workflows and containerized deployment
• Strong analytical mindset, effective problem-solving skills, and clear, confident communication
• Ability to convey complex technical concepts in language accessible to business stakeholders
• Excellent English communication skills (B2 level or higher)

Nice to have

• Working knowledge of (Re)Insurance Underwriting Operations to build stronger context around industry workflows
• Understanding of Infrastructure as Code principles, with particular attention to security, to enable reliable and secure environment configuration
• Previous experience working within the Insurance industry to strengthen the relevance of AI solution design
• Practical experience with Monitoring and Observability platforms to maintain ongoing insight into system behavior after deployment
• Demonstrated Technical Leadership background, including team direction and shaping long-term engineering strategy

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.