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Senior Solution Architect (AWS & Generative AI) – Enterprise Cybersecurity

Techgene Solutions • United States
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Designs end-to-end Agentic AI pipelines for enterprise cybersecurity POCs, focusing on multi-agent workflows for vulnerability detection, planning, and remediation using AWS and LLMs. Requires deep AWS expertise, Generative AI orchestration (LangGraph/LangChain), and DevSecOps practices. Must architect secure, scalable systems with AWS ECS, Bedrock, OpenSearch, and DynamoDB.

Key Highlights
Architect multi-agent AI workflows for cryptographic vulnerability remediation
Design LLM integration with Amazon Bedrock (Claude/Gemini) for automated logic
Build RAG system with OpenSearch for security rule matching
Key Responsibilities
Design and architect multi-agent AI workflows for vulnerability detection, planning, and remediation
Integrate LLM capabilities using Amazon Bedrock (Claude/Gemini) for automated remediation logic
Develop Retrieval-Augmented Generation (RAG) systems with OpenSearch for security rule matching
Create state-management systems using DynamoDB to track remediation progress
Build secure reviewer dashboards with API Gateway, AWS Lambda, and Amazon Cognito
Technical Skills Required
AWS Cloud Architecture Generative AI Orchestration (LangGraph/LangChain) DevSecOps

Job Description

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:

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