Senior AI Engineer — Multi-Agent Pipelines (Python + AWS)

GlobalLogic

Argentina

Presencial

ARS 89.322.000 - 133.982.000

Jornada completa

Hace 3 días
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Descripción de la vacante

GlobalLogic is seeking an experienced Principal AI Engineer I in Argentina to design and build production‑grade agentic AI systems. You will work on multi‑agent orchestration, connect data ecosystems, and deploy on AWS Bedrock, with a focus on reliability and governance.

The role requires advanced English and strong collaboration across CS, Sales, and Product. You’ll engage with LangGraph, LangChain, MCP patterns, and a modern Python stack to deliver scalable AI solutions for a 40,000+ customer

Formación

  • Hands-on experience building agentic AI systems in production.
  • Proficient in Python and modern AI engineering stack.
  • Experience integrating LLMs via AWS Bedrock or similar APIs.
  • Experience connecting data platforms (Snowflake, Iceberg, OpenSearch).
  • Familiarity with MCP or similar governance patterns.
  • Experience building REST APIs using Python frameworks (FastAPI).
  • Hands-on AWS experience including Lambda and API Gateway.

Responsabilidades

  • Design multi-agent pipelines using LangGraph and AgentCore.
  • Build prompt pipelines and memory constructs with LangChain.
  • Deploy LLM-powered agents on AWS Bedrock, ensuring reliability and security.
  • Develop production-grade FastAPI services exposing agentic capabilities.
  • Collaborate with cross-functional teams to translate requirements into architecture.
  • Iterate rapidly based on usage signals and metrics.

Conocimientos

Python
AWS Core Services
LangChain
LangGraph
AgentCore
Claude
Communication & Collaboration
MCP

Herramientas

Snowflake
Apache Iceberg
OpenSearch
Qlik Cloud Analytics
Qlik Talend Cloud
AWS Bedrock
IAM
Lambda
API Gateway
FastAPI

Descripción del empleo

GlobalLogic is seeking an experienced Principal AI Engineer I in Argentina to design and build production‑grade agentic AI systems. You will work on multi‑agent orchestration, connect data ecosystems, and deploy on AWS Bedrock, with a focus on reliability and governance.

The role requires advanced English and strong collaboration across CS, Sales, and Product. You’ll engage with LangGraph, LangChain, MCP patterns, and a modern Python stack to deliver scalable AI solutions for a 40,000+ customer

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