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# Application Architect

- **Company:** The Zero Trust
- **Location:** Irving, TX, United States
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Amazon DynamoDB, JSON, Python (Programming Language), Zero Trust Network Access, Systems Integration, Chatbots, DevOps Tools - Open-source, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Multi-Agent Systems, State Machines, Generative AI, AWS Lambda, Amazon Virtual Private Cloud (VPC), Agentic-AI, AWS ECS, Git, Servicebus, Event Driven Architecture, Containerization, Amazon Bedrock, AWS Fargate, Claude, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Amazon OpenSearch, Serverless Computing, Human in the Loop
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/42d1e85c-8f6b-4f80-8b95-18248ea2a304

## About the Role

Automated Code Validation: Experience integrating DevSecOps tools (Checkov, tfsec, OPA) directly into automated pipelines to catch LLM hallucinations and control the "blast radius" before any code is applied.
Zero-Trust & Air-Gapped Security: Must know how to build completely isolated network boundaries (no Internet Gateways) using AWS PrivateLink and VPC Endpoints to handle sensitive data securely.
Cryptographic Domain Awareness: While they don't need to be the primary Crypto SME, they must understand the baseline concepts they are architecting for-such as TLS 1.3 migrations, AES-256, Post-Quantum Cryptography (PQC), and parsing SBOM/CBOM JSON logs.

 2. Agentic AI
LangGraph Orchestration: Mandatory experience building cyclic state machines and multi-agent workflows using LangGraph (reject candidates who only have basic LangChain or chatbot experience).
Native AWS Foundation Models: Deep experience with Amazon Bedrock and Anthropic Claude. They must know how to use strict system prompts and tool-calling to force the LLM to output valid infrastructure code.
Advanced RAG Architecture: Experience designing Retrieval-Augmented Generation (RAG) systems with Amazon OpenSearch (or similar vector databases) to retrieve specific enterprise remediation rules and templates.

 3. AWS
ECS Fargate & Serverless Compute: Deep architectural experience running containerized workloads on AWS ECS Fargate, AWS Lambda, and designing event-driven systems.
State Persistence (DynamoDB): Specific experience using DynamoDB for state management and checkpointing (crucial for pausing the AI while waiting for human approval).
Asynchronous Integration: Mastery of decoupled AWS services like API Gateway, SQS, and EventBridge to handle long-running background tasks and Human-in-the-Loop (HITL) API callbacks.

 4. Others
Python Software Engineering: This is a hands-on architectural role. The candidate must be a strong Python developer capable of writing custom agentic logic, not just someone who configures dashboards.
Terraform (IaC) Generation: Extensive knowledge of Terraform/HCL-specifically understanding how to instruct an AI to dynamically generate syntactically valid Terraform pull requests (Git PRs).
Human-in-the-Loop (HITL) Design: Experience designing asynchronous workflows where an automated process pauses, waits for a human to review/approve via a UI, and gracefully resumes execution.