Sr Solutions Architect (AI, AGENTIC, AWS)

Job Title : Sr Solutions Architect

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

Duration 12 months

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 Vendor’s 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.