Senior Solutions Architect

Risamsoft Inc; Irving (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Risamsoft Inc in Irving, TX seeks a Senior Solution Architect to lead design and execution of an AI-driven cybersecurity initiative targeting automated remediation of cryptographic vulnerabilities across ~200 applications using autonomous LLM agents.

The role spans building an agent orchestration pipeline, integrating LLMs (Bedrock/Claude/Gemini), and translating security rules into IaC templates, with hands-on leadership bridging DevSecOps, Cloud Infrastructure, and Generative AI for scalable

Qualifications

• 10+ years of progressive experience in Cloud and Software Architecture.
• Deep expertise in AWS networking, compute (ECS/Fargate), and serverless data stores (DynamoDB, OpenSearch, API Gateway, Lambda).
• Hands-on architectural experience with Generative AI orchestration frameworks (Lang Graph, Lang Chain) and LLM APIs (Amazon Bedrock, Claude, Gemini).
• Strong DevSecOps foundation, Infrastructure-as-Code (Terraform), and automated remediation pipelines.
• Ability to translate complex encryption standards (TLS, IPsec, AES-256) into secure infrastructure configurations.

Responsibilities

• Design the Agent Pipeline and cyclic graph state machines using LangGraph on AWS ECS Fargate.
• Oversee integration of LLMs (Bedrock, Claude, Gemini) and define prompt structures and CBOM/SBOM parsing logic.
• Architect the secure AWS environment (VPC, IAM, CloudWatch) and state-management with DynamoDB; implement reviewer dashboard with API Gateway, Lambda, Cognito.

Skills

Cloud Architecture

AWS Expertise

Generative AI

Infrastructure as Code

Security Compliance

Tools

Terraform

ECS/Fargate

LangGraph

LangChain

OpenSearch

Bedrock

API Gateway

Lambda

DynamoDB

Cognito

Job description

Location: Irving TX (3 days onsite - Hybrid role)

We are seeking a Senior Solution Architect to lead the technical design and execution of a strategic, AI-driven cybersecurity initiative. This program aims to automate the remediation of enterprise cryptographic vulnerabilities across a portfolio of ~200 applications using autonomous LLM agents

Operating initially within an isolated InfoVision AWS Sandbox before scaling to enterprise production, you will be the definitive technical authority driving this initiative. You will architect the multi-agent orchestration pipeline, integrate Large Language Models (LLMs), and ensure the seamless translation of enterprise security rules into executable Infrastructure-as-Code (IaC) templates. This role requires a hands-on architectural leader who can bridge the gap between DevSecOps, Cloud Infrastructure, and Generative AI to deliver a scalable, long-term solution.

Day-to-Day Responsibilities

1. AI & Agentic Orchestration Architecture

• Design the Agent Pipeline: Architect the cyclic graph state machines using LangGraph on AWS ECS Fargate, defining the exact hand-offs between the Scan, Classify, Plan, and Execute agents
• LLM Integration: Oversee the integration of Amazon Bedrock (Claude/Gemini APIs), designing the prompt structures and context-handling logic required to parse complex Software Bill of Materials (SBOM) and Cryptography Bill of Materials (CBOM) outputs
• RAG Implementation: Architect a Retrieval-Augmented Generation (RAG) vector system using OpenSearch to dynamically map scan findings against the established North Star rule dictionary

2. Cloud Infrastructure & Security Design

• Infrastructure Architecture: Design and govern the secure AWS environment (VPC, IAM, CloudWatch) to initially isolate the development sandbox and eventually scale into production pipelines
• State & Approval Management: Architect the state-management layer using DynamoDB to track remediation checkpoints. Design the "Reviewer Dashboard" using API Gateway, AWS Lambda, and Amazon Cognito to enforce human-in-the-loop approval gates
• CI/CD & DevOps Integration: Oversee the offshore AWS Cloud/DevOps engineers building the automated execution pipelines (AWS CodeBuild, SSM, Git PR automation)

3. Technical Strategy & Template Governance

• Rule-to-Template Mapping: Own the baseline mapping table. Translate the characteristic maps (provided by the on-site data analysis team) into the logical frameworks required for the IaC remediation templates
• Vulnerability Simulation & Testing: Guide the engineering team on how to accurately inject industry-standard cryptographic vulnerabilities (e.g., TLS 1.2, AES-128, hardcoded secrets) into reference applications to simulate real-world conditions during the initial build phase
• Cross-Functional Technical Alignment: Act as the technical bridge between the on-site secure analysis teams and the offshore AI engineering teams, ensuring the AI agents are being built to solve the correct enterprise constraints

Required Qualifications

• Experience: 10+ years of progressive experience in Cloud and Software Architecture.
• AWS Mastery: Deep, demonstrable expertise in AWS networking, compute (ECS/Fargate), and serverless data stores (DynamoDB, OpenSearch, API Gateway, Lambda). AWS Solutions Architect Professional certification is highly preferred.
• Generative AI: Hands-on architectural experience with Generative AI orchestration frameworks (Lang Graph, Lang Chain) and LLM APIs (Amazon Bedrock, Claude, Gemini).
• DevSecOps: Strong foundation in DevSecOps practices, Infrastructure-as-Code (Terraform), and automated remediation pipelines.
• Security Acumen: Ability to understand complex enterprise encryption standards (TLS, IPsec, AES-256) and how they translate to infrastructure configurations.