Lead AI Engineer — Generative AI, Global Impact, Remote

EPAM; United States; Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Work abroad up to 2 months/year

Relocation opportunities across 55++I

Certifications: GCP, Azure, AWS

Internal learning database access

Free English classes

Housing support program

Well-being programs

Corporate and social events

Job summary

EPAM is seeking a Lead AI Engineer to drive Generative AI initiatives and architect scalable enterprise AI systems. You will mentor engineers and partner with clients to translate goals into technical roadmaps, delivering measurable business impact.

The role focuses on RAG, autonomous multi-agent workflows, tool integration, and model evaluation, with emphasis on security, cost, and performance. Strong English required; international travel possible.

Qualifications

• 5+ years in lead/principal/senior AI/ML engineering roles delivering production AI solutions.
• At least 1 year of leadership experience.
• Strong Python (FastAPI) proficiency and NLP foundations.
• Experience with LLMs and modern generative AI patterns like RAG.
• Production experience with major LLM APIs and framework orchestration tools.
• Ability to translate business goals into technical roadmaps and mentor others.

Responsibilities

• Drive technical vision and architecture for scalable enterprise AI apps.
• Collaborate with clients to map business goals to technical roadmaps.
• Set engineering standards for code quality, data pipelines, and prompts.
• Mentor junior and senior developers to raise performance.
• Guide R&D and PoCs; standardize tools and frameworks for GenAI edge.

Skills

Python FastAPI

NLP fundamentals

Leadership

Generative AI design

LLM APIs

RAG architectures

Multi-agent systems

UI prototyping

Tools

OpenAI API

Anthropic API

Bedrock

Gemini

LangGraph

LlamaIndex

Job description

EPAM is seeking a Lead AI Engineer to drive Generative AI initiatives and architect scalable enterprise AI systems. You will mentor engineers and partner with clients to translate goals into technical roadmaps, delivering measurable business impact.

The role focuses on RAG, autonomous multi-agent workflows, tool integration, and model evaluation, with emphasis on security, cost, and performance. Strong English required; international travel possible.