> Markdown version of [/jobs/ext/4619691-cybersecurity-sme-cryptography-solution-architect-aws-ai](https://www.wearedevelopers.com/jobs/ext/4619691-cybersecurity-sme-cryptography-solution-architect-aws-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cybersecurity SME Cryptography/Solution Architect AWS AI - **Company:** YASMESOFT INC - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $176,800 - $197,600 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Cyber Security, Data Security, Data Stores, Amazon DynamoDB, Cryptographic Protocols, Internet Protocol Security (IP SEC), JSON, Parsing, Software Architecture, Software Vulnerability Management, Enterprise Software Applications, Load Balancing, Large Language Models, Multi-Agent Systems, Generative AI, AWS Lambda, Agentic-AI, AWS ECS, Kubernetes, Amazon Bedrock, AWS Fargate, Claude, Google Gemini, Api Gateway, Devsecops, Serverless Computing, OpenSearch - **Published:** November 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=caa906ef1aff341e ## About the Role * 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., * Senior-level expertise in Cybersecurity, Cryptography, and Security Data Analysis. * Deep technical mastery of enterprise encryption protocols including TLS 1.3, IKEv2 IPsec, AES-256, and Post-Quantum Cryptography (PQC) standards. * High proficiency in parsing and analyzing raw security data logs (JSON, SBOM formats). Must clear expedited enterprise security onboarding and strictly adhere to secure data-handling protocols. ## 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., * 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., We are seeking a Senior Cybersecurity SME to act as the primary intelligence layer for a cutting-edge AI remediation project. Working in a highly secure environment, you will analyze proprietary Cryptography Bill of Materials (CBOM) data across a massive portfolio of legacy and modern applications, translating raw security data into actionable patterns for AI engineers. Key Responsibilities: * Parse and analyze raw JSON/SBOM/CBOM vulnerability scans across complex enterprise applications. * Identify critical deviations from modern encryption standards, including TLS migrations (1.0/1.2 to 1.3), cipher suite upgrades (AES-128 to AES-256-GCM), and SSH host key hardening. * Map complex infrastructure characteristics (e.g., hardware load balancers, IoT constraints) to technical remediation requirements. * Identify unencrypted secrets and keys in codebases, architecting mappings for secure KMS integration.