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Application Architect

InfoVision, Inc.Irving, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationIrving, TX, United States
DynamoDBGitAWSAPI GatewayLLMPythonTerraformLangChainLangGraphRAG

Job description

Hi,

Please review the below job requirement and let me know if you are good to submit with the below details filled and your latest resume ASAP.

Job Title: Application Architect
Location: Irving TX (3 days onsite – Hybrid role)
Duration 12 months

Required Skills

Cyber Security / Cryptography
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.
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.
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.
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.

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