Overview

We are seeking a Lead AI Engineer to spearhead the design and architecture of enterprise-grade AI agentic solutions. In this role, you will drive innovation across LLMs, foundation models, and multi-agent systems while shaping production AI platforms and fostering a high-performance engineering culture. You will collaborate with cross-functional teams to deliver measurable business impact through cutting-edge AI technologies.

Responsibilities

  • Lead, design and architect enterprise-grade AI agentic solutions using LLMs, foundation models and multi-agent systems
  • Implement production AI platforms with modular pipelines, multi-source knowledge fusion and governance frameworks
  • Collaboration with product, engineering and business teams to understand requirements and drive strategic decisions
  • Architecture of hybrid AI systems combining agentic AI, traditional ML, symbolic reasoning and knowledge graphs
  • Perform detailed analysis of business problems and design comprehensive solutions with measurable ROI
  • Establish MLOps/AIOps practices including continuous evaluation, A/B testing, model versioning and automated retraining pipelines
  • Lead code and architecture reviews, ensuring solutions meet security, compliance and best practice standards
  • Foster a high-performance AI engineering culture, mentor team members and provide technical leadership
  • Design evaluation frameworks covering technical, human-centered, temporal and contextual metrics
  • Drive innovation and stay current with emerging AI technologies and research
  • Author comprehensive technical documentation, architecture decision records and knowledge base articles

Requirements

  • 5+ years of experience in AI/ML engineering with proven leadership in architecting enterprise-grade solutions
  • Expertise in LLMs, foundation models and multi-agent systems
  • Proficiency in designing production AI platforms with modular pipelines and governance frameworks
  • Background in hybrid AI systems combining agentic AI, traditional ML and symbolic reasoning
  • Knowledge of knowledge graphs and multi-source knowledge fusion
  • Competency in MLOps/AIOps practices including A/B testing, model versioning and automated retraining
  • Capability to design evaluation frameworks covering technical, human-centered and contextual metrics
  • Understanding of business problem analysis and translating requirements into solutions with measurable ROI
  • Showcase of strong cross-functional collaboration and stakeholder management
  • Familiarity with security, compliance standards and emerging AI research trends
  • English proficiency at B2 level or higher

Hungary

  • Dynamic, entrepreneurial corporate environment
  • Diverse multicultural, multi-functional, and multilingual work environment
  • Opportunities for personal and career growth in a progressive industry
  • Global scope, international projects
  • Widespread training and development opportunities
  • Access to LinkedIn Learning solutions
  • Competitive salary and various benefits
  • Advanced wellbeing and CSR programs, recreation area

[epamgdo] Hungary (About EPAM)

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.

[epamgdo] Hungary (Campus Programs)

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