Senior AI Solutions Architect (Full Stack) - Remote (Peru)

Encora10; Comisión de Fomento de Perú; Remote; ARS 151,455,000 - 212,038,000; Full time

Job summary

Coforge is seeking a Senior Full Stack AI Engineer (Solution Architecture) to design scalable cloud-native SaaS solutions and autonomous AI agents. You will build high-performance Python services with FastAPI and containerize on Azure or AWS, using Docker, Kubernetes, Terraform, and Ansible.

Ideal candidates have senior experience in microservices, AI/ML with LangGraph and RAG, and strong English communication to collaborate across product and engineering teams.

Qualifications

• Bachelor’s degree in Computer Science or related STEM field.
• Senior-level experience designing scalable, production-grade microservice apps.
• Experience with AI/ML and agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar).
• Experience building autonomous agents, RAG solutions with safeguards for accuracy and reliability.
• Proficiency with Azure and/or AWS, Docker, Kubernetes, Terraform, and Ansible.

Responsibilities

• Design and implement cloud-native SaaS apps with microservice architectures.
• Build autonomous AI agents using LangGraph and Graph-RAG pipelines.
• Develop high-performance Python services with FastAPI and deploy on Azure/AWS.
• Guide architectural decisions and document solution architectures with cross-functional teams.

Skills

Solution Architecture

Generative AI

Agentic AI

LangGraph

RAG

Python

FastAPI

Node.js

React

Azure

AWS

Kubernetes

Terraform

Education

Bachelor’s degree in Computer Science

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

Coforge is seeking a Senior Full Stack AI Engineer (Solution Architecture) to design scalable cloud-native SaaS solutions and autonomous AI agents. You will build high-performance Python services with FastAPI and containerize on Azure or AWS, using Docker, Kubernetes, Terraform, and Ansible.

Ideal candidates have senior experience in microservices, AI/ML with LangGraph and RAG, and strong English communication to collaborate across product and engineering teams.