Lead AI Engineer - Enterprise LLM Solutions Architect

EPAM Systems; Colombia; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health coverage

Stock option plan

Learning culture

Professional growth

Descripción de la vacante

EPAM Systems in Colombia seeks a Lead AI Engineer to design and scale AI applications powered by large language models. You will partner with clients to deliver LLM-driven solutions, architect agentic systems and drive adoption of emerging AI technologies across enterprise environments.

You will design end-to-end AI apps, collaborate with clients, optimize data pipelines, evaluate model performance, and stay ahead of evolving LLM frameworks and memory architectures while ensuring security and

Formación

• Strong experience in AI application development lifecycle and production deployment.
• Experience with LLM platforms and retrieval/embedding workflows.
• Experience deploying AI solutions at scale with security and observability considerations.
• Experience with enterprise system integrations and cloud/on-prem deployments.

Responsabilidades

• Design, build and scale AI applications powered by large language models.
• Collaborate with clients to deliver tailored LLM-driven solutions.
• Architect data pipelines, prompts and datasets for robust models.
• Monitor and improve model performance, security and observability.

Conocimientos

Strong problem-solving

Excellent communication

Collaboration

Independent work

Herramientas

Python

Java

C#

Go

FastAPI

Streamlit

Gradio

Flask

ASP.NET

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Strands Agents

Pinecone

FAISS

Qdrant

Weaviate

Descripción del empleo

EPAM Systems in Colombia seeks a Lead AI Engineer to design and scale AI applications powered by large language models. You will partner with clients to deliver LLM-driven solutions, architect agentic systems and drive adoption of emerging AI technologies across enterprise environments.

You will design end-to-end AI apps, collaborate with clients, optimize data pipelines, evaluate model performance, and stay ahead of evolving LLM frameworks and memory architectures while ensuring security and