Cybersecurity SME Cryptography/Solution Architect AWS AI

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.

• 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.