Sr. Solution Architect (AWS & Generative AI)

InfoVision Inc.; Irving (TX); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

InfoVision Inc. seeks a Senior Solution Architect to design an end-to-end Agentic AI pipeline for an enterprise cybersecurity POC.

You will be the technical authority responsible for architecting a multi-agent workflow that detects, plans, and remediates cryptographic vulnerabilities using LLMs and AWS infrastructure. You will architect on AWS ECS Fargate, design the LLM integration layer with Bedrock, build a RAG system with OpenSearch, and implement a secure reviewer dashboard using API

Formación

• Senior-level expertise in Cloud and Software Architecture.
• Experience with AWS networking and compute (ECS/Fargate).
• Hands-on architectural experience with Generative AI orchestration (LangGraph/LangChain).
• Strong DevSecOps practices and automated remediation pipelines.

Responsabilidades

• Architect a multi-agent LangGraph workflow on AWS ECS Fargate.
• Design LLM integration using Bedrock for automated remediation logic.
• Build a RAG vector system with OpenSearch to map findings to rules.
• Create a DynamoDB-based state-management layer for remediation checkpoints.
• Develop a secure Reviewer Dashboard using API Gateway, Lambda, Cognito for human-in-the-loop gates.

Conocimientos

AWS Solutions Architect Professional

Cloud architecture

Software architecture

DevSecOps practices

Herramientas

LangGraph

LangChain

OpenSearch

DynamoDB

API Gateway

AWS Lambda

ECS/Fargate

Bedrock (Claude/Gemini APIs)

Descripción del empleo

We are looking for a Senior Solution Architect to design an end-to-end Agentic AI pipeline for an enterprise cybersecurity POC. You will be the technical authority responsible for architecting a multi-agent workflow that detects, plans, and remediates cryptographic vulnerabilities using Large Language Models and AWS infrastructure.

Key Responsibilities:

• Architect a multi-agent LangGraph workflow hosted on AWS ECS Fargate.
• Design the LLM integration layer utilizing Amazon Bedrock (Claude/Gemini APIs) for automated vulnerability remediation logic.
• Architect a Retrieval-Augmented Generation (RAG) vector system using OpenSearch to map security scan findings against enterprise rule dictionaries.
• Design a robust state-management layer using DynamoDB to track remediation checkpoints.
• Design a secure "Reviewer Dashboard" using API Gateway, AWS Lambda, and Amazon Cognito for human-in-the-loop approval gates.

Required Qualifications:

• Senior-level expertise in Cloud and Software Architecture (AWS Solutions Architect Professional certification highly preferred).
• Deep, demonstrable expertise in AWS networking, compute (ECS/Fargate), and serverless data stores (DynamoDB, OpenSearch).
• Hands-on architectural experience with Generative AI orchestration frameworks, specifically LangGraph and LangChain.
• Strong foundation in DevSecOps practices and automated remediation pipelines.