GenAI Solutions Architect - Client-Facing & Strategy

EPAM Systems; Argentina; Presencial; ARS 5.022.000 - 7.254.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Connectivity Bonus

Medicina Prepaga

Paternity Leave

Discounts card

English Training

Training Program

Marriage bonus

Referral Program

External Agreements and Discounts

Vacations: 14 days

Descripción de la vacante

EPAM Systems is seeking a Senior GenAI Solutions Engineer to lead AI-enabled transformations in client engagements across Latin America. The role focuses on translating business goals into GenAI architectures, guiding workshops, and shaping offerings that accelerate AI maturity within EPAM LATAM.

You will collaborate with executives, architects, and delivery teams to craft practical solutions leveraging RAG, multi-agentic AI, and modern AI SDLC practices, while mentoring peers and driving growth.

Formación

• 5+ years building with LLMs and GenAI platforms.
• 3+ years with vector databases and MCP ecosystem.
• Cloud proficiency across Azure/AWS/GCP.

Responsabilidades

• Partner with customers to translate business challenges into AI-enabled solutions.
• Lead workshops and technical conversations with stakeholders.
• Design proposals, architectures, and implementation approaches for GenAI programs.
• Mentor engineers and enable internal AI communities.

Conocimientos

GenAI platforms

LLMs

Python

AI frameworks

MLOps

AI observability

RAG

Multi-agentic systems

Executive presence

Stakeholder communication

Workshop facilitation

Herramientas

LangGraph

Strands

AWS Agentic Core

ADK

Anthropic

OpenAI

Gemini

LangChain

Vector databases

MCP ecosystem

Tool integrations

Azure

AWS

GCP

Descripción del empleo

EPAM Systems is seeking a Senior GenAI Solutions Engineer to lead AI-enabled transformations in client engagements across Latin America. The role focuses on translating business goals into GenAI architectures, guiding workshops, and shaping offerings that accelerate AI maturity within EPAM LATAM.

You will collaborate with executives, architects, and delivery teams to craft practical solutions leveraging RAG, multi-agentic AI, and modern AI SDLC practices, while mentoring peers and driving growth.